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Wectar - Computers - Artificial Intelligence - Machine Learning

         

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Belief Networks@Case-Based ReasoningCompaniesConferencesDatasetsEducational Resources
Mailing ListsNeural Networks@PublicationsResearch GroupsSoftwareSupport Vector Machines@


URL: http://cgm.cs.mcgill.ca/~godfried/teaching/pr-web.html
ODP description: Links to various pattern recognition and machine learning resources
Page title: Pattern Recognition on the Web

URL: http://www.learningtheory.org/
ODP description: 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 efficiency.
Page title: COLT: Computational Learning Theory

URL: http://satirist.org/learn-game/
ODP description: 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 algorithms, temporal differences, and other methods.
Page description: How computers can learn to get better at playing games. A site for AI researchers and game programmers.

URL: http://people.revoledu.com/kardi/tutorial/kMean/index.html
ODP description: Introduction to k-means clustering, a popular data mining and unsupervised learning algorithm. Free code, software, resources and examples are available for download.
Page title: K-Mean Clustering Tutorial
Page description: k mean clustering tutorial

URL: http://home.earthlink.net/~dwaha/research/machine-learning.html
ODP description: A machine learning resources from Applications to Tutorials.

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

URL: http://www.acm.org/crossroads/xrds3-1/racra.html
ODP description: An introduction to "anytime" algorithms. Published in Crossroads, the student magazine of the ACM.

URL: http://www.cs.iastate.edu/~honavar/gi/gi.html
ODP description: Repository of information on grammatical inference, automata induction, and language acquisition.
Page title: Homepage of the Grammatical Inference Community

URL: http://web.media.mit.edu/~lieber/PBE/index.html
ODP description: Programming by example (or by demonstration) is a technique for teaching the computer new behavior by demonstrating actions on concrete examples. The system records user actions and generalizes a program that can be used in new examples.
Page title: Programming by Example Home Page

URL: http://www.ph.tn.tudelft.nl/PRInfo/index.html
ODP description: Links

URL: http://www.miislita.com
ODP description: 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.
Page title: Information Retrieval, Artificial Intelligence, Integrated Optimization and Scientific Marketing
Page description: Integrated Optimization,Integrated Optimization Services,Artificial Intelligence Searches,Scientific Marketing,Scientific Marketing Research,Term Vectors,Term Vector Theory,Information Retrieval Intelligence,Information Retrieval Tutorials

URL: http://www.proto-mind.com
ODP description: Artificial Neural Network-based natural language conversational agent and intelligent dialogue generator
Page title: PMM

URL: http://www.irisa.fr/Gowachin/
ODP description: A competition on Grammatical Inference.

URL: http://www.kernel-machines.org
ODP description: 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 events, datasets, code.
Page title: Kernel Machines

URL: http://www.cis.upenn.edu/~ais
ODP description: Machine learning approaches to data mining focussing on text mining applications.
Page title: Andrew Schein's Web Page

URL: http://athos.rutgers.edu/ml4um/
ODP description: Resources for researchers and practitioners interested in the use of learning techniques in intelligent, user-adaptive systems.
Page title: ML4UM and ML,IR for UM Homepage
Page description: This page is the main frameset to the website on ML4UM and ML/IR for UM.



  
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