computational learning theory Resources

"computational learning theory" references for the Electrical Engineer
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Introduction to Machine Learning	Book	Description: The author's "intention was to pursue a middle ground between theory and practice. The notes concentrate on the important ideas in machine learning---it is neither a handbook of practice nor a compendium of theoretical proofs. My goal was to give the reader sufficient preparation to make the extensive literature on machine learning accessible." [show more...] [show less...] Author(s): Nilsson, Nils J. License: Some Restrictions (includes GNU) Format: PDF Price: free online URL: http://ai.stanford.edu/ ~nilsson/ mlbook.html Limitations: This is an early draft of a proposed textbook by Nils J. Nilsson of the Robotics Laboratory at Stanford University. Copyright date is 1996. ReviewText: Contents include: Learning Input-Output Functions Varieties of Machine Learning Learning Requires Bias Using Version Spaces for Learning Neural Networks training Feedforward Networks by Backpropagation Statistical Learning Decision Trees Inductive Logic Programming Computational Learning Theory Unsupervised Learning Temporal-Difference Learning Delayed-Reinforcement Learning Explanation-Based Learning Keywords: programming , neural networks , machine learning , decision trees , backpropagation , statistical learning , inductive logic programming , computational learning theory Submitter: EE HomePage Editorial Staff Affiliation: None xml_ID: 1148177488 (single entry page)

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