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See also:
- Computers: Artificial Intelligence: Belief Networks (55)
- Computers: Artificial Intelligence: Machine Learning (243)
- Computers: Artificial Intelligence: Vision (64)
- Computers: Artificial Life (271)
- Health: Medicine: Medical Specialties: Neurology (385)
- Science: Biology: Neurobiology (268)
- Science: Math: Statistics: Bayesian Analysis (21)
- Science: Social Sciences: Cognitive Science (275)
- Science: Social Sciences: Psychology: Neuropsychology (22)
- Science: Technology: Electronics: Signal Processing (122)
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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.
- Bibliographies on Neural Networks - Part of the collection of computer science bibliographies.
- 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.
- Gaussian Processes - A website keeping track of developments in Gaussian processes. Has links to online papers and their authors and software.
- Maximum Entropy Online Resources - Workshops, tutorials, papers and software related to maximum entropy.
- Neural Network Centers Around the World - Collection of Neural Network resources sorted by topic.
- Neuroinformatics - A hub for the neuroinformatics community, with information on workshops and courses. Also hosts the comp-neuro mailing list.
- Principal Curves Page - Introduction to principal curves, with summary of and links to publications, demo, and software.
- Reinforcement Learning Repository - A centralized resource for researchers of reinforcement learning. Maintained at University of Massachusetts, Amherst.
- Sumeet's neural networks listing - Includes related fields like genetic algorithms, fuzzy logic, adaptive computing and complex systems and descriptions of each site.
- Wikipedia: Neural Network - Free encyclopedia article addressing the historical background, the learning paradigms and the different application areas.
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