Belief Networks 52
Case-Based Reasoning 12
Companies 8
Conferences 31
Datasets 19
Educational Resources 4
Mailing Lists 3
Neural Networks 262
Publications 22
Research Groups 42
Software 81
Support Vector Machines 25
| | Data Mining - Databases, Software, Computers 196
Statistics - Math, Science 774
 David W. Aha: Machine Learning PageDavid W. Aha: Machine Learning Page
 
A machine learning resources from Applications to Tutorials.
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Andrew Schein's Web PageAndrew Schein's Web Page
 Machine learning approaches to data mining focussing on text mining applications
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Computational Learning TheoryComputational 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 efficiency.
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GowachinGowachin
 A competition on Grammatical Inference.
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Grammatical InferenceGrammatical Inference
 Repository of information on grammatical inference, automata induction, and language acquisition.
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Integrated Optimization - Artificial IntelligenceIntegrated 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.
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Kernel machinesKernel 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 events, datasets, code.
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k-means clustering tutorialk-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.
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Machine learning for user modelingMachine learning for user modeling
 Resources for researchers and practitioners interested in the use of learning techniques in intelligent, user-adaptive systems.
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Machine Learning in GamesMachine 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 algorithms, temporal differences, and other methods.
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Pattern Recognition InformationPattern Recognition Information
 A hub for Pattern Recognition linking to journals, books, bibliographies, jobs, conferences and news.
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Pattern Recognition on The WebPattern Recognition on The Web
 Links to various pattern recognition and machine learning resources
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Programming by ExampleProgramming by Example
 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.
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Proto-Mind MachinesProto-Mind Machines
 Artificial Neural Network-based natural language conversational agent and intelligent dialogue generator
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Reasoning about Computational Resource AllocationReasoning about Computational Resource Allocation
 An introduction to "anytime" algorithms. Published in Crossroads, the student magazine of the ACM.
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Reinforcement Learning RepositoryReinforcement Learning Repository
 A centralized resource for researchers of reinforcement learning. Maintained at University of Massachusetts, Amherst.
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