Computers - Artificial Intelligence - Neural Networks Reinforcement Learning Repository - A centralized resource for researchers of reinforcement learning. Maintained at Michigan State University. Boosting Research Site - Scientific homepage on boosting and ensemble learning methods. neural101.com - Non-commercial site for information related to trading the financial markets using neural networks. Includes message bases, links and database of trading indicators, systems, and scans. Connectionists - Moderated mailing list for discussion of technical issues and dissemination of information pertaining to neural computations. Membership is restricted to students and faculty members. Maximum Entropy Online Resources - Workshops, tutorials, papers and software related to maximum entropy. Gaussian Processes - A website keeping track of developments in Gaussian processes. Has links to online papers and their authors and software. Sequential Monte Carlo Methods - Website dedicated to sequential data analysis and tracking using particle filters. Neuroinformatics - A hub for the neuroinformatics community, with information on workshops and courses. Also hosts the comp-neuro mailing list. David E. Rumelhart Prize - An annual award for contributions to the formal analysis of human cognition. Bibliographies on Neural Networks - Part of the collection of computer science bibliographies. Evaluation of Face Recognition Algorithms - An online resource for face recognition researchers that provides a standard set of well known algorithms and experimental protocols with which novel algorithms can be compared. Principal Curves Page - Introduction to principal curves, with summary of and links to publications, demo, and software. Kernel Machines - A central source of information on kernel based methods, including support vector machines, Gaussian processes. Neural Network Resources - Extensive collection of Neural Network resources. Sumeet's neural networks listing - Includes related fields like genetic algorithms, fuzzy logic, adaptive computing and complex systems and descriptions of each site. Neural Network FAQ - This FAQ from comp.ai.neural-nets contains the most commonly asked questions about neural networks, including some great introductory material. Creativity Machine Paradigm - Device for the autonomous generation of useful information. A chaotically perturbed net produces novel concepts derived from its training while a second net isolates any concepts of potential value. AIpool.org (Open Source Artificial Intelligence) - Artificial Intelligence, Brain Research, and Neural Networks bring Immortality to the uploaded human mind (Open Source Project). Neural Network Applications - Applications of neural networks for feature selection, dimension reduction and data mining. Evolutionary Design of Neural Architectures - A repository maintained by the Artificial Intelligence Research Group led by Vasant Honavar in the Department of Computer Science at Iowa State University. Neuroquant.com - Devoted to the research and development of trading systems for financial markets using artificial neural networks and genetic algorithms. NEuroNet - Neural Network Events - A detailed chronological listing of upcoming events in Europe, US and a few other places. ICANN 2002 - International Conference on Artificial Neural Networks - August 27-31 2002 in Madrid, Spain. Events on Artificial Intelligence - A comprehensive listing of events related to neural networks, vision, speech, and related topics. SAC2002 - 17th ACM Symposium on Applied Computing, with a neuro-fuzzy applications track. To be held March 10-14, 2002 in Madrid, Spain. E-ISCI2002 - 2nd Euro-International Symposium on Computational Intelligence. To be held June 16-19, 2002 in Kosice, Slovakia. ISDA 2002 - International Workshop on Intelligent Systems Design and Applications - To be held August 07-08 2002 in Atlanta, USA CNS2002 - Sixth International Conference on Cognitive and Neural Systems. To be held May 29 - June 1, 2002. AI'2002 - Canadian Conference on Artificial Intelligence - To be held 27-29 May, 2002 in Calgary, Alberta, Canada. ECAI 2002 - European Conference on Artificial Intelligence - July 21-26 2002 in Lyon, France. IPMU 2002 - 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - To be held July 1-5 2002 in Annecy, France ESANN 2003 - 11th European Symposium on Artificial Neural Networks. To be held April 23-25, 2003 in Bruges, Belgium. PPSN2002 - Seventh International Conference on Parallel Problem Solving from Nature - September 7 - 11, 2002 in Granada, Spain WCCI2002 - World Congress on Computational Intelligence. To be held May 12-17, 2002 in Hawaii, USA. IJCNN 2002 is part of it. CSCC02 - 6th WSES Multiconference on Circuits, Systems, Communications & Computers. One conference is about "Neural, Fuzzy and Evolutionary Computation". To be held July 7-14, 2002 in Crete Island, Greece. ICMLA'02 - International Conference on Machine Learning and Applications - To be held June 24-27 2002 in Las Vegas, Nevada NNSP 2002 - 2002 IEEE International Workshop on Neural Networks for Signal Processing - To be held September 4-6, 2002 in Martigny, Switzerland ICONIP'2002 - International Conference On Neural Information Processing. To be held November 18-22, 2002, Singapore ACDM 2002 - Fifth evolutionary / Adaptive Computing in Design and Manufacture conference - April 16th-18th, 2002 - Exeter, England. IDEAL'02 - Third International Conference on Intelligent Data Engineering and Automated Learning - August 12-14 2002 - Manchester, UK STAIRS 2002 - STarting Artificial Intelligence Researchers Symposium - July 22-23 2002 in Lyon, France NE2003 - The 1st International IEEE EMBS Conference on Neural Engineering - To be held March 20-22, 2003 in Capri Island, Italy. FLAIRS-2003 - Special track on neural network applications. To be held May 11-15, 2003 in St. Augustine, Florida. ISSPA 2003 - Seventh International Symposium on Signal Processing and Its Applications. To be held 1-4 July 2003 in Paris, France. HIS2001 - International Workshop on Hybrid Intelligent Systems. To be held in conjunction with Australian Joint conference on Artificial Intelligence on December 11-12, 2001 in Adelaide, Australia. ICA2001 - Third International Conference on Independent Component Analysis and Blind Source Separation. To be held December 9-13, 2001 in San Diego, California, USA. From Worker to Colony - Understanding the Organization of Insect Societies. To be held December 7-8, 2001 in Cambridge, United Kingdom. NIPS*2001 - Neural Information Processing Systems. To be held December 3-8, 2001 in Vancouver, British Columbia, Canada. NLPNN2001 - The Second Workshop on Natural Language Processing and Neural Networks. To be held November 30, 2001 in Tokyo, Japan. ICDM-01 - IEEE International Conference on Data Mining. to be held November 29 - December 2, 2001 in San Jose, California, USA. ANNIE 2001 - Artificial Neural Networks In Engineering - To be held November 4-7 2001 in St. Louis, Missouri, USA LFTNC 2001 - NATO Advanced Research Workshop on Limitations and Future Trends in Neural Computation. Attendance to be approved by NATO. To be held October 22-24, 2001 in Siena, Italy. NIMIA 2001 - NATO Advanced Study Institute on Neural Networks for Instrumentation, Measurement, and Related Industrial Applications. Attendance to be approved by NATO. To be held October 9-20, 2001 in Crema, Italy. ICIP 2001 - International Conference on Image Processing. To be held October 7-10, 2001 in Thessaloniki, Greece. EWRL5'2001 - The Fifth European Workshop on Reinforcement Learning. To be held October 5-6, 2001 in Utrecht, the Netherlands. Third Conference on Sensorimotor Controls in Men and Machines - To be held October 5-6, 2001 in Marseille, France. Artificial Intelligence and Heuristic Methods for Bioinformatics - A NATO Advanced Study Institute. To be held October 1-11, 2001 in San Miniato, Italy. KI2001 - Joint German/Austrian Conference on Artificial Intelligence september, 19-21, 2001 NCPW7 - Seventh Neural Computation and Psychology Workshop : Connectionist Models of Cognition and Perception. To be held September 17-19, 2001 in Brighton, United Kingdom. IDA 2001 - Fourth International Symposium on Intelligent Data Analysis. To be held september 13-15, 2001 in Lisbon, Portugal. NNSP2001 - IEEE Workshop on Neural Networks for Signal Processing. Focuses on data mining and signal separation. To be held September 10-12, 2001 in Falmouth, Massachusetts, USA. UK Workshop on Computational Intelligence 2001 - To be held September 10-12, 2001 in Edinburgh, United Kingdom. KES 2001 - International Conference on Knowledge-Based Intelligence Information Engineering Systems and Allied Technologies. To be held September 6-8, 2001 in Osaka and Nara, Japan. WAND 2001 - Workshop for the Analysis of Neural Data. To be held August 20 to September 1, 2001 at Marine Biological Laboratory, Woodhole, MA, USA. Third ESF Summer Symposium on Neural Computation and Neuroinformatics - To be held August 25-26, 2001 in Trieste, Italy. ICANN 2001 - International Conference on Artificial Neural Networks. To be held August 21-25, 2001 in Vienna, Austria. CT2001 - Fourth International Conference on Cognitive Technology. To be held August 6-9, 2001 in Warwick, Coventry, United Kingdom. Cognitive Science 2001 - To be held August 1-4, 2001 in Edinburgh, Scotland. NEURON - An introduction to the NEURON neural systems simulation environment, with an emphasis on practical issues for productive use. To be held in San Diego, California, USA as a satellite symposium to the Society of Neuroscience Meeting. Summer school NN-2002 - On neural networks in supervised classification, regression and data mining. 8-12 July 2002, Porto, Portugal DynaMind - Provides tools for training, testing and embedding neural networks in applications. Lester Ingber Research - Conducts research in applying neural networks to EEG analysis, trading and combat analysis and provides consulting services in areas of expertise. AND Corporation - Provider of application development services, software systems, and licensor of the Holographic/Quantum Neural Technology (HNeT). Attrasoft - Provider of a number of neural network based products for image and sound recognition/retrieval, trend prediction and data mining. BioComp Systems Inc. - A consulting and software development firm specializing in neural network and genetic algorithms. EssenceWeb - Devoted to the artificial intelligence technologies in Internet and the project of the Global Intelligence. contains Java-based program neurosimulator and links about artificial intelligence. hav.Software - Sells software implementations of feedforward and recurrent networks trained with backpropagation and feature maps. Braincel - An easy to use Excel add-in that enhances forecasts with the power of neural networks. Imagination Engines, Inc. - Developer of neural network technology, including the Creativity Machine and DataBot. NeuroDimension, Inc - Provides NeuroSolutions, a neural networks software based on backpropagation. Also provides additional software to embed NeuroSolutions in Excel and to produce DLLs implementing neural networks created with NeuroSolutions. Neural Machines - Creation and application of neural network technology to semantic pattern recognition problems. Super ICEPak - Software based on different AI tools including: neural networks, statistical pattern recognition and fuzzy logic for pattern recognition and classification. RG Software Corporation - Provides neural network software in the form of a DLL library, allowing fast development in various platforms. Free preview available. Ward Systems Group, Inc. - Develops software for prediction, classification and optimiztion based on neural networks and genetic algorithms. Hugin Expert A/S - Expert system for construction and execution of Bayesian Belief Networks. Universal Problem Solvers, Inc. - Develops pattern recognition software and consults in the areas of artificial and computational intelligence. NeuralWare - Provides neural network based analysis products and engineering services which help business, government, industry, and universities solve data mining, classification, prediction, and pattern recognition problems. SoftThought, Inc. - Development of neurologically inspired artificial intelligence software and research in new techniques for solving artificial intelligence problems. Applied Analytic Systems Decision Technologies - An operations research and artificial intelligence consulting and software development company specializing in neural networks, statistical modeling, and mathematical optimization. Optical Recognition Objectives - Develops technology for pattern recognition and biometric software for face recognition and criminal investigations. Online demo available. Neurostate Technologies Inc - Portable neural network applications for various hi-tech domains, including user authentication and biotechnologies. Qnet Neural Network Modeling Software - Develops neural network modeling software for forecasting, recognition, and general data handling tasks. HiTech Analytics, LLC - Sells financial indicators based on neural networks and consulting services. Dendronic Decisions Limited - Advanced Computing Research in Machine Learning using tools including neural networks. Silicon Recognition Inc. - Provides ZISC, a massively parallel processing hardware using embedded AI pattern recognition tools such as neural network (RBF, etc.) and K-nearest neighbor (KNN), for applications involving high-speed pattern recognition, data mining, and internet content filtering. Human Interfaces - Designs intelligent systems and supplies AI and information technologies. Information on company and technology. neuronlogic ActiveX Intelligent Software - Developer of ActiveX Neural Network components for implementation into VB, C++, Delphi, J++, Frontpage and Dreamweaver. Using n-Logic Core to predict, analyse, classify your data. Applied Neurodynamics - Consulting design of neurocomputing hardware, Neuromorphic aVLSI bus infrastructure, support for wet lab research. Centre for Neural Networks - King's College London - An inter-departmental center at King's College London coordinating research and teaching in neural networks. Part of NEuroNet. Departmant of Cognitive and Neural Systems and Center for Adaptive Systems - Boston University - Neural and computational principles underlying human and animal behaviour; computational neuroscience, cognitive science and adaptive systems. Brain-Style Information Systems Research Group - RIKEN - Studies information processing in the brain from a mathematical and information theoretic viewpoint. Shun-ichi Amari of information geometry fame is the director. Dutch Foundation for Neural Networks - A consortium of Dutch neural networks research groups coordinating research into and applications of neural networks. Gatsby Computational Neuroscience Unit - University College London - Studies neural computational theories of perception and action, with an emphasis on learning. Directed by Geoffrey Hinton. Neural Computing Research Group - Aston University - The theory and applications of neural networks and related techniques. Institut fur Neuroinformatik - Ruhr-Universat Bochum - Research in systems biophysics, theoretical biology and complex systems. Neural Networks Research Centre - Helsinki University of Technology - Research in artificial neural networks, pattern recognition and signal processing. Computational Neuroscience Laboratory - UC Davis - Bruno Olshausen's group working on coding strategies of the visual system for object recognition and scene analysis. Computation and Neural Systems - Caltech - Studies computations in neural systems, ranging from biological systems, to theoretical models and VLSI applications. Computational Intelligence and Technology Laboratory - Universidade Federal de Minas Gerais - Fundamental issues and applications of artificial neural networks, fuzzy systems and hybrid computational intelligence systems. Computational Neurobiology Laboratory - Salk Institute - Studies the computational resources of the brain, including sensory representation, memory representation and visuo-motor transformations. The director is Terry Sejnowski. Seung Lab for Theoretical Neuroscience - MIT - Mathematical theories of the mind, learning and memory in biological and artificial neural networks. Neural networks group - Austrian Research Institite for Artificial Intelligence - Theory and methodology of neural networks; medical applications; industrial applications; neural network simulation tools; and connectionism and cognitive modeling. Cavendish Laboratory Inference group - University of Cambridge - David MacKay's group working on machine learning, information theory, neural networks and Bayesian inference. Artificial Intelligence Research Laboratory - Iowa State University - Neural Computing, hybrid systems, cognitive modelling, intelligent agents, distributed intelligence. Digital Signal Processing Group - University of València - Estudi General - Digital signal processing and applications to Biomedical Engineering and Industrial Systems. Center for Information Mining and Extraction - National University of Singapore - Problem solving and knowledge discovery with artificial intelligence. NeuroTeam - University of Tübingen - Neural networks for biomedical applications, sensory analysis, quality control and signal processing. Computational Intelligence Group - University of Bristol - Theory and applications of statistical learning theory, support vector machines and neural networks. Laboratory for Artificial Neural Systems at the University of Texas at Austin. - Primarily concerned with analyzing data in various forms - web logs, hypertext, XML, databases, signals and images Neural Network Projects - Pacific Northwest National Laboratory - Contract research involving neural networks for government and commercial clients includes links to professional societies, journals, courses, research topics, software, hardware and other resources. Center for Neural Engineering - University of Southern California - Inter-disciplinary research in engineering, neuroscience and medicine. Goodman Brain Computation Lab - University of Nevada - To understand memory, learning and cognition through experiments and computational models, and to apply this knowledge to create brain-like artificial intelligence and neural prosthetic devices. Institute for Neural Computation at the University of California, San Diego - Devoted to research and development addressing the challenges of understanding how humans function at the neural and cognitive levels, and solving major technological problems related to neural network implementations. Machine Learning - University of Toronto - Machine learning, statistical pattern recognition, probabilistic planning, adaptive systems. Neuroengineering Laboratory at the University of California, San Diego - Application areas include computer vision (including image processing and video), text-based information retrieval, pattern recognition and learning in data bases, and large-scale optimization using novel methods. Center for Spoken Language Understanding at OGI - Group developing nonlinear estimation approaches which rapidly adapt on-line to speaker variations and changing noise sources. Artificial Neural Systems Laboratory at the University of Cincinnati - Research directed toward connectionist and hybrid models of information processing IEEE Neural Network Council - Maintains geographically organized list of Neural Computing research programs worldwide. Kawato Dynamic Brain Project - ATR Japan - Mechanisms of human cognition and sensory-motor learning. Machine Learning and Neural Networks Group. University of Florence, Italy - Learning about sequential and structured data, bioinformatics, document processing, natural language processing, pattern recognition. Becker, Sue - Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems. Hopfield, John J. - Neural networks, collective behaviour of systems of simple processors. Most noted for Hopfield networks. Jordan, Michael I. - Graphical models, variational methods, machine learning, reasoning under uncertainty. Sejnowski, Terry - Sensory representation in visual cortex, memory representation and adaptive organization of visuo-motor transformations. Maass, Wolfgang - Theory of computation, computation in spiking neurons. Neal, Radford - Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression. Adelson, Edward T. - Visual perception, machine vision, image processing. Brody, Carlos D. - Somatosensory working memory, computation with action potentials, design of complex stimuli for sensory neurophysiology. Dayan , Peter - Representation and learning in neural processing systems, unsupervised learning, reinforcement learning. Amari, Shun-ichi - Neural network learning, information geometry. Ballard, Dana H. - Visual perception with neural networks. Dietterich, Thomas G. - Reinforcement learning, machine learning, supervised learning. Freeman, William T. - Bayesian perception, computer vision, image processing. Ghahramani, Zoubin - Sensorimotor control, unsupervised learning, probabilistic machine learning. Jaakkola, Tommi S. - Graphical models, variational methods, kernel methods. Jensen, Finn Verner - Graphical models, belief propagation. Lawrence, Neil - Graphical models, variational methods. Murray, Alan - Neural networks and VLSI hardware. Oja, Erkki - Unsupervised learning, PCA, ICA, SOM, statistical pattern recognition, image and signal analysis. Leen, Todd - Online learning, machine learning, learning dynamics. Leow, Wee Kheng - Computer vision, computational olfaction. Li, Zhaoping - Non-linear neural dynamics, visual segmentation, sensory processing. Murphy, Kevin P. - Graphical models, machine learning, reinforcement learning. Schetinin, Vitaly - Biomedical data mining, diagnostic rule extraction and quality control in industry using a variety of techniques. Revow, Michael - Hand-written character recognition. Sahani, Maneesh - Statistical analysis of neural data, experimental design in neuroscience. Seung, Sebastian - Short-term memory, learning and memory in the brain, computational learning theory. Bartlett, Marian Stewart - Image analysis with unsupervised learning, face recognition, facial expression analysis. Calvin, William H. - Theoretical neurophysiologist and author of The Cerebral Code, How Brains Think. Honavar, Vasant - Constructive learning, computational learning theory, spatial learning, cognitive modelling, incremental learning. Sutton, Richard S. - Reinforcement learning. Beveridge, Ross - Computer vision, model-based object recognition, face recognition. de Sa, Virginia - Supervised and unsupervised learning, cross-modal learning. Saad, David - Neural computing, error-correcting codes and cryptography using statistical and statistical mechanics techniques. Teh, Yee Whye - Learning and inference in complex probabilistic models. Beal, Matthew J. - Bayesian inference, variational methods, graphical models. McCallum, Andrew - Machine learning, text and information retrieval and extraction, reinforcement learning. Shuurmans, Dale - Computational learning, complex probability modelling. Olshausen, Bruno - Visual coding, statistics of images, independent components analysis. Lafferty, John D. - Statistical machine learning, text and natural language processing, information retrieval, information theory. Saund, Eric - Intermediate level structure in vision. Ng, Andrew - Reinforcement learning, machine learning. Zemel, Richard - Unsupervised learning, machine learning, computational models of neural processing. Boutilier, Craig - Decision making and planning under uncertainty, reinforcement learning, game theory and economic models. Pathegama, Mahinda - Intelligent information systems, physiological sciences systems. Meila, Marina - Graphical models, learning in high dimensions, tree networks. Caruana, Rich - Multitask learning. Wiskott, Laurenz - Face recognition, Invariances in learning and vision. Phillips, Jonathon - Face recognition. Simard, Patrice - Machine learning and generalization. Kappen, Bert - Boltzmann machines, computational neurobiology, online learning. Opper, Manfred - Statistical physics, information theory and applied probability and applications to machien learning and complex systems. Yedidia, Jonathan S. - Statistical methods for inference and learning. Zhu, Song Chun - Vision and graphics, statistical modelling and computing, neural computation. Wu, Yingnian - Stochastic generative models for complex visual phenomena. Rasmussen, Carl Edward - Gaussian processes, non-linear Bayesian inference, evaluation and comparison of network models. Lawrence, Steve - Information dissemination and retrieval, machine learning and neural networks. Sallans, Brian - Decision making under uncertainty, reinforcement learning, unsupervised learning. Brown, Andrew - Machine learning of dynamic data, graphical models and Bayesian networks, neural networks. Paccanaro, Alberto - Learning distributed representation of concepts from relational data. Morris, Quaid - Machine learning for medical diagnosis and biological data analysis. Kakade, Sham - Reinforcement learning and conditioning, mathematical models of neural processing. Kali, Szabolcs - Learning and memory in the brain, hippocampus. Welling, Max - Unsupervised learning, probabilistic density estimation, machine vision. Wallis, Guy - Object recognition, cognitive neuroscience, interaction between vision and motor movements. Wainwright, Martin - Statistical signal and image processing, natural image modelling, graphical models. Dovzhenko, Alexander Yu. - Neural networks for computer clusters, oscillations in neural networks Chu, Selina - Artificial intelligence, machine learning, data mining. Wunsch II, Donald C. - Reinforcement Learning, Adaptive Critic Designs, Control, Optimization, Graph Theory, Bioinformatics, Intrusion Detection. Keysers, Daniel - Pattern recognition and statistical modelling for object recognition. Rao, Rajesh P. N. - Models of human and computer vision. Koller, Daphne - Probabilistic models for complex uncertain domains. Lerner, Uri N. - Hybrid and Bayesian networks. Wiegerinck, Wim - Inference in graphical models, mean field and variational approaches. Heskes, Tom - Learning and generalization in neural networks. Tishby, Naftali - Machine learning; applications to human-computer interaction, vision,neurophysiology, biology and cognitive science. Rovetta, Stefano - Research on Machine Learning/Neural Networks/Clustering. Applications to DNA microarray data analysis/industrial automation/information retrieval. Teaching activities. de Freitas, Nando - Bayesian inference, Markov chain Monte Carlo simulation, machine learning. Saul, Lawrence K. - Machine learning, pattern recognition, neural networks, voice processing, auditory computation. LeCun, Yann - Handwritten recognition, convolutional networks, image compression. Noted for LeNet. Kearns, Michael - Reinforcement learning, probabilistic reasoning, machine learning, spoken dialogue systems. Storkey, Amos - Belief networks, dynamic trees, image models, image processing, probabilistic methods in astronomy, scientific data mining, Gaussian processes and Hopfield neural networks. Roweis, Sam T. - Speech processing, auditory scene analysis, machine learning. Coolen, Ton - Physics of disordered systems. Working on dynamic replica theory for recurrent neural networks. Minka, Thomas P. - Machine learning, computer vision, Bayesian methods. Tong, Simon - Machine learning, active learning, graphical models, support vector machines. Bach, Francis - Machine learning, kernel methods, kernel independent component analysis and graphical models Joachims, Thorsten - Support vector machines, machine learning and natural language, statistical learning theory, text classification. Winther, Ole - Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction. Herbrich, Ralph - Statistical learning theory, support vector machines and kernel methods. Roberts, Stephen - Machine learning and medical data analysis, independent component analysis and information theory. Attias, Hagai - Graphical models, variational Bayes, independent factor analysis. Appl, Martin - Reinforcement learning, soft-computing, optimization. Bishop, Chris - Graphical models, variational methods, pattern recognition. Cottrell, Garrison W. - An artrificial intelligence researcher who is an expert on neural networks. Frey, Brendan J. - Iterative decoding, unsupervised learning, graphical models. Ghosh, Joydeep - Adaptive multi-learner systems, intelligent data analysis, data and web mining. Hinton, Geoffrey E. - Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation. Kawato, Mitsuo - Computational neuroscience, neural network modelling. MacKay, David - Bayesian theory and inference, error-correcting codes, machine learning. Smola, Alex J. - Kernel methods for prediction and data analysis. Weiss, Yair - Vision, Bayesian methods, neural computation. Williams, Christopher K. I. - Gaussian processes, image interpretation, graphical models, pattern recognition. Joseph Wakeling's Neural Systems Research Page - Research papers and information on biologically inspired neural networks, brain modelling, AI and related topics. A cross-disciplinary site mixing information from physics, neuroscience, cognitive science and other fields. de Garis, Hugo - Evolvable neural network models, neural networks for programmable hardware, large neural networks. Muresan, Raul C. - Neural Networks, Spiking Neural Nets, Retinotopic Visual Architectures. Friedman, Nir - Learning of probabilistic models, applications to computational biology. Guillermo Cámara Chávez - Fuzzy adaptive resonance theory, invariant pattern recognition. Tipping, Mike - Bayesian learning, relevance vector machine, probabilistic principal component analysis. Bengio, Samy - Torch machine learning library, including SVMTorch support vector machine program. Research on mixture models, hidden markov models, multimodal fusion, speaker verification. Genesis - A platform for simulating complex neural systems. OpenBayes - A forum for the development of an open source library for probabilistic graphical models. NNSYSID Toolbox - A set of MATLAB tools for neural network based identification of nonlinear dynamic systems. Netlab - A library of MATLAB functions for simulating neural network algorithms based on the book Neural Networks for Pattern Recognition by Chris Bishop. Propagator - Backpropagation neural networks development system. Neural Network Toolbox for MATLAB - A comprehensive environment for neural network research, design, and simulation within MATLAB. Xerion - Neural network simulator based on C and Tcl. Made up of C libraries to build networks, and pre-built simulators. DELVE - A standard environment for evaluating the performance of learning methods. Includes a number of datasets and an archive of learning methods. Stuttgart Neural Network Simulator - A simulation environment for research on applications of neural networks. Written in C and has an X based GUI. Fuzzy Symbolic Connectionist - Automatic construction of neural networks. Incremental learning. Support of fuzzy logic. Hybrid symbolic\connectionist representation. Win3 shareware. Trans Dimensional Learning - Automatic construction of neural networks using evolutionary processes. Windows 3 shareware from Universal Problem Solvers, Inc. PDP++ - A neural-network simulation system based on C++. This is the next generation of the PDP software originally released with McClelland and Rumelhart's PDP book. MATLAB Neural Network Toolbox Tutorial - A tutorial on how to construct custom neural networks starting from an empty network object. Neu (Neural) Net Work - Very fast working Neural Network ideas not based on the traditional "subtle varying synapses", but on "there's a connection, okay, go on". Tom-ato's OCR Using a Neural Network - Showcases a java applet designed to recognize hand printed digits using a neural network. Digits can be drawn using the mouse and recognized by the applet in the browser. SVM-Light - Large-scale support vector machine training software. Tiberius - Neural network for classification and regression problems. Supports ODBC and Excel. Torch - A library of state-of-the-art machine learning algorithms. Licensed under the GPL, and designed for Unix and Linux environments. Neural Network Leaves Recognition - A neuronal network based system to recognize leaves written in Java. A Java-Applet is also available. NeuroServer - A universal feed-forward neural network server powered by Landau Institute for Theoretical Physics distributed computer cluster. NeuralWorks - Professional II/PLUS contains all major paradigms and complete control over neural network architectures and parameters. Predict contains a genetic algorithm for variable selection and may integrate with Microsoft Excel. Neural Network Models in Excel - Neural Network freeware in Excel. Applications for building prediction and classification models in Excel. Uses Feedforward-backpropagation. Can handle missing values & categorical data. Cortex - Allows you to interactively design, teach and use neural networks. You can also use the runtime DLL from other applications. NuRho neural network simulator - NuRho is a Java backpropagation simulator that is fast, portable, and inexpensive. It supports wizard-based GUI and performance monitoring charts. Amygdala Spiking Neural Network - Amygdala is a Spiking Neural Network simulator written in C++. Neural Networks - ART1 - C and C++ source (open) for simulating ART1 based neural networks. The Neural Simulation Language ( NSL ) - NSL, Neural Simulation Language, is a simulation system for large-scale general neural networks. NSL provides a simulation environment simplifying the task of modeling neural networks. RiniNet - An open source library implementing artificial neural networks. Neurak - A freeware environment for development and application of artificial neural networks. Cobalt A.I. - Provides programming tools for rapid application development of artificial intelligence systems. N.A.R.I.A. - An open project about simulating human-like intelligence with the help of neural networks. Neural Net Oracle - A progressive stock market predictor based on neural network. NeuroBox OpenSource Neural Network Library - An opensource .NET OOP library project written in C# to generate, propagate and train complex neural feedforward networks. Temporal Difference Learning Project - Java sources for temporal difference learning Random Walk and Tic Tac Toe. NeuroDesigner - A family of Java based computer products for neural network applications. IEEE Neural Network Council - The council advances and coordinates work in neural networks carried thoughtout the IEEE. International Neural Network Society - An academic association seeking to advance our understanding of the modeling of behavioral and brain processes, and the application of neural modeling concepts to technological problems. Society for Neuroscience - An international organization of scientists and physicians dedicated to understanding the brian, spinal cord and peripheral nervous system. Other Neural Network Professional Societies - Hosted by the IEEE Neural Networks Council. NEuroNet - Coordinated from King's College London. Written primarily for the European community, but has a good and organized collection of resources on the net. World Federation on Soft Computing - A society formed to promote soft computing and online interaction between researchers, including online discussions, conferences and journals. Life-like Perception Systems Initiative - A pro-active initiative to promote research into integrated perception-response systems that take their inspiration from the solutions adopted by living systems. Neuroinformatics Group at the University of Bielefeld - Control, Modelling, Neural networks Hydroinformatics and Knowledge Management Department - Information about the MS course of Hydroinformatics. IHE-Delft, Netherlands. The Cerebral Code, Thinking a Thought in the Mosaics of the Mind - by William H. Calvin. Information Theory, Inference and Learning Algorithms - by David MacKay. Artificial Neural Networks tutorial - A basic introduction available in English, Spanish and German. Neural Network Fundamentals - Lecture notes from course taught at Monash University. Neural Network : The solution to true AI - Information about Neural Networks, its concept, algorithm and a demo program included. Backpropagator's Review - This document is a backprop FAQ, reading list (with a preference for online articles) and a summary of the state of the art. It is aimed at people who want practical advice on using backprop. Neural Networks FAQ (1..7) - A general purpose FAQ on neural networks with some good introductory material. Neural Memory - introduction to neural memory concepts ai-junkie.com - Genetic Algorithm and Neural Network tutorials. All tutorials are supported with well commented source code. There is also a discussion forum where readers may discuss anything AI related. Neural Networks tutorial - A good beginner's tutorial on neural networks Art and Design of Hayes Raffle - Art and Design of Hayes Raffle. Product and Graphic design. Sculpture, prints and photography focusing on the confluence of electronic technologies and culture. NeuralNex: Neural Growth and Networks - discussion of principles of neural networks and neural growth Hybrid Systems FAQ - Hybrid Systems combine techniques from different paradigms to solve problems. CITE -- Elsevier Science - Online access to Elsevier Science publications in computational intelligence, and related resources. Psychology Press Alert - An email service delivering tables of contents in advance of publication for Psychology Press, Taylor and Francis, Brunner-Rouledge and Carfax behavioural science journals . Kluwer Academic Publishers: Brain and Mind - A journal providing information on neuroscience and neurophilosophy. Journal contents, author instructions, and subscription form. Neural Computation - Offers articles, titles, and reviews. Site has an archive going back to 1995. Journal of Neuroscience Connexions IEEE Transactions on Neural Networks International Journal of Computational Intelligence and Applications Journal of Cognitive Systems Research Journal of Machine Learning Research Neural Computing Surveys Network: Computation in Neural Systems Neural Networks Neural Processing Letters Neurocomputing Applied Soft Computing - Electronic journal of the World Federation on Soft Computing (WFSC). SPC Magazine - The Peruvian Computer Society's magazine that publishes peruvian scientific content. we want to become prestigious promotors and broadcasters of scientific research and knowledge according to the Peruvian Computer Society's statements. NIPS Online Abstracts and Papers - Free access to papers for all NIPS conferences. Papers are in DjVu format (free software and plug-ins available). UAI Electronic Proceedings - Abstracts starting from UAI 1985, with increasing numbers of papers starting from UAI 1994, and access to all papers in UAI 1999 and onwards. Papers are in postscript format. ESANN Electronic Proceedings - Free access to proceedings of past ESANN conferences in PDF format. Some abstracts are missing and some papers are scanned. Combinatorial Approach to Dynamical Systems of Neural Networks - Seminar note and research papers on threshold transformations and dynamical systems of neural networks in a framework of combinatorial and discrete mathematics. The vestibulo-ocular reflex - Description and computational model of the vestibul-ocular reflex. Image Compression with Neural Networks - An overview. Intelligent Motion Control with an Artificial Cerebellum - PhD thesis describing a CMAC based neural network for intelligent control. Free source code available. Saccadic eye movements - A computational model of oculomotor control in the superior colliculus. Industrial use of safety-related artificial neural networks - A contract research report on the extent of neural networks usage in safety-related applications. Marcus Gallagher : Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling - A PhD thesis on exploring and visualizing the error surfaces of multi-layer perceptron learning, and making use of knowledge of the error surface in learning. Medical Applications for Pattern Classifiers and Image Processing - By Andrew Tomlinson Feed-Forward Neural Networks and Their Applications in Forecasting - In this thesis, a multi-layer feed-forward neural network based gas load forecast model - the TellFuture load forecast system, is built with Java to show how neural networks work in forecasting. Superresolution with Artificial Neural Networks - This document discusses a way to increase the resoulution of digital images using neural networks. netmation.com | netmation.net | netmation.org | netmation.tv Copyright © 1991-2005 Netmation Inc. All Rights ReservedSite Designed and Hosted by Netmation Inc.