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Case-Based Reasoning (12)
Companies (8)
Conferences (31)
Datasets (19)
Educational Resources (4)
Mailing Lists (3)
Publications (22)
Research Groups (42)
Software (81)


Andrew Schein's Web Page  
Machine learning approaches to data mining focussing on text mining applications
http://www.cis.upenn.edu/~ais
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Computational Learning Theory  
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 data
http://www.learningtheory.org/
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David W. Aha: Machine Learning Page  
A machine learning resources from Applications to Tutorials.
http://home.earthlink.net/~dwaha/research/machine-learning.html
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Gowachin  
A competition on Grammatical Inference.
http://www.irisa.fr/Gowachin/
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Grammatical Inference  
Repository of information on grammatical inference, automata induction, and language acquisition.
http://www.cs.iastate.edu/~honavar/gi/gi.html
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Integrated Optimization - Artificial Intelligence  
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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k-means clustering tutorial  
Introduction to k-means clustering, a popular data mining and unsupervised learning algorithm. Free code, software, resources and examples are available for download.
http://people.revoledu.com/kardi/tutorial/kMean/index.html
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Kernel machines  
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, upcoming
http://www.kernel-machines.org
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Machine learning for user modeling  
Resources for researchers and practitioners interested in the use of learning techniques in intelligent, user-adaptive systems.
http://athos.rutgers.edu/ml4um/
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Machine Learning in Games  
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 al
http://satirist.org/learn-game/
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