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  • Neural Network FAQ   - This FAQ from comp.ai.neural-nets contains the most commonly asked questions about neural networks, including some great introductory material.

    http://liinwww.ira.uka.de/bibliography/Neural/index.html
    » Bibliographies on Neural Networks - Part of the collection of computer science bibliographies.

    http://www.cnbc.cmu.edu/derprize/
    » David E. Rumelhart Prize - An annual award for contributions to the formal analysis of human cognition.

    http://www.cs.iastate.edu/~gannadm/homepage.html
    » 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.

    http://www.cs.toronto.edu/~carl/gp.html
    » Gaussian Processes - A website keeping track of developments in Gaussian processes. Has links to online papers and their authors and software.

    http://omega.albany.edu:8008/maxent.html
    » Maximum Entropy Online Resources - Workshops, tutorials, papers and software related to maximum entropy.

    http://www.brain.riken.jp/labs/mns/geczy/Links-E.html
    » Neural Network Centers Around the World - Collection of Neural Network resources sorted by topic.

    http://www.neuroinf.org/
    » Neuroinformatics - A hub for the neuroinformatics community, with information on workshops and courses. Also hosts the comp-neuro mailing list.

    http://www.iro.umontreal.ca/~kegl/research/pcurves/
    » Principal Curves Page - Introduction to principal curves, with summary of and links to publications, demo, and software.

    http://www-anw.cs.umass.edu/rlr/
    » Reinforcement Learning Repository - A centralized resource for researchers of reinforcement learning. Maintained at University of Massachusetts, Amherst.

    http://www.geocities.com/sumeet_gupta/neural.html
    » Sumeet's neural networks listing - Includes related fields like genetic algorithms, fuzzy logic, adaptive computing and complex systems and descriptions of each site.

    http://en.wikipedia.org/wiki/Neural_network
    » Wikipedia: Neural Network - Free encyclopedia article addressing the historical background, the learning paradigms and the different application areas.


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