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Belief Networks (49) Case-Based Reasoning (12) Companies (7)
Conferences (31) Datasets (19) Educational Resources (3)
Mailing Lists (3) Neural Networks (250) Publications (20)
Research Groups (41) Software (88) Support Vector Machines (23)

 Web Pages    1 - 10   of   16


A research field devoted to studying the design and analysis of algorithms for making predictions about the future based on past experiences. The emphasis in COLT is on rigorous mathematical analysis. COLT is largely concerned with computational and d...

http://www.learningtheory.org/

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 2 - Kernel machines Browse Website open in new window
A central information source for the area of Support Vector Machines, Gaussian Process prediction, Mathematical Programming with Kernels, Regularization Networks, Reproducing Kernel Hilbert Spaces, and related methods. Provides links to papers, upcomi...

http://www.kernel-machines.org

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How computers can learn to get better at playing games. This site is for artificial intelligence researchers and intrepid game programmers. I describe game programs and their workings; they rely on heuristic search algorithms, neural networks, genetic...

http://satirist.org/learn-game/

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A hub for Pattern Recognition linking to journals, books, bibliographies, jobs, conferences and news.

http://www.ph.tn.tudelft.nl/PRInfo/index.html

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A centralized resource for researchers of reinforcement learning. Maintained at University of Massachusetts, Amherst.

http://www-anw.cs.umass.edu/rlr/

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Links to various pattern recognition and machine learning resources

http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html

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A machine learning resources from Applications to Tutorials.

http://home.earthlink.net/~dwaha/research/machine-learning.html

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Repository of information on grammatical inference, automata induction, and language acquisition.

http://www.cs.iastate.edu/~honavar/gi/gi.html

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Site dedicated to research of artificial intelligence algorithms applied to information retrieval, data mining and optimization methods. Includes FAQs and AI resources for math/science teachers and students.

http://www.miislita.com

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An introduction to "anytime" algorithms. Published in Crossroads, the student magazine of the ACM.

http://www.acm.org/crossroads/xrds3-1/racra.html

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