Top Document: Artificial Intelligence FAQ: Bibliography 4/6 [Monthly posting] Previous Document: [4-8] Connectionism and Neural Nets Next Document: [4-10] Case-Based Reasoning See reader questions & answers on this topic! - Help others by sharing your knowledge General: Tom Mitchell, "Machine Learning", McGraw Hill, 1997. Christopher Bishop, "Neural Networks for Pattern Recognition", Oxford University Press, 1996. ISBN 0-19-853849-9 Hardback, ISBN 0-19-853864-2 Paperback. J. G. Carbonell, editor, "Machine Learning: Paradigms and Methods", MIT Press, Cambridge, MA 1990. Alan Hutchinson, "Algorithmic Learning", Oxford University Press, Oxford, England, 1994. 434 pages, ISBN 0-19-853848-0 paper (27.50 Sterling), ISBN 0-19-853766-2 hardcover (55.00 Sterling). Corrections and additions are available by anonymous ftp from ftp://dcs.kcl.ac.uk/ftp/pub/alg-learn/ [137.73.8.10] Tom Mitchell, Jaime G. Carbonell, and Ryszard S. Michalski, "Machine Learning: A guide to current research", Kluwer Academic Publishers, Boston, 1986. [A bit out of date.] Jude W. Shavlik and Thomas D. Dietterich, editors, "Readings in Machine Learning", Morgan Kaufmann Publishers, 1990, 853 pages. ISBN 1-55860-143-0, $49.95. Reinforcement Learning General: Sutton, R.S. and Barto, A.G. (1998) Reinforcement Learning: An introduction. MIT Press, Cambridge Mass. Games: Tesauro, G (1992) Practical issues in temporal difference learning. Machine Learning, 8(3-4):257-277. Lee, K.-F., and Mahajan S. (1988) A pattern classification approach to evaluation function learning. Artificial Intelligence, 36(1):1-26 Support Vector Machines N. Cristianini and J. Shawe-Taylor, "An Introduction To Support Vector Machines", Cambridge University Press, 2000. (www.support-vector.net) Decision Trees: Quinlan, J. Ross, "Induction of Decision Trees", Machine Learning 1(1):81-106, 1986. Quinlan, J. Ross, "C4.5: Programs for Machine Learning", Morgan Kaufmann Publishers, 1992. ISBN 1-55860-238-0. $44.95 US, $49.45 International. For a slight additional charge ($25), the book comes with software (ISBN 1-55860-240-2). For software only, (ISBN 1-55860-239-9) $34.95 US, $38.45 International. Probabilistic Clustering: Fisher, D.H., "Knowledge Acquisition Via Incremental Conceptual Clustering", Machine Learning 2:139-172, 1987. (Probabilistic clustering methods.) Clancey, W.J., "Classification Problem Solving", Proceedings of the National Conference on Artificial Intelligence, 49-55, Los Altos, CA, Morgan Kaufmann. 1984. Version Spaces: Tom M. Mitchell, "Generalization as Search", Artificial Intelligence 18:203-226, 1982. Machine Discovery: Langley, P., and Zytkow, J. M., "Data-driven approaches to empirical discovery", Artificial Intelligence 40:283-312, 1989. Langley, P., Simon, H.A., Bradshaw, G.L., and Zytkow, J.M., "Scientific Discovery: Computational Explorations of the Creative Processes", MIT Press, Cambridge, MA, 1987. Langley, P., Simon, H.A. and Bradshaw, G.L., "Heuristics for Empirical Discovery", in L. Bolc, editor, Computational Models of Learning, Springer-Verlag, 1987. Also appears as CMU CS Tech Report CMU-CS-84-14. Chunking: Laird J.E., Rosenbloom, P.S. and Newell, A., "Chunking in SOAR: The Anatomy of a General Learning Mechanism", Machine Learning 1:1-46, 1986. Explanation-Based Learning: Mitchell, Tom M., Keller, R. M., and Kedar-Cabelli, S. T., "Explanation-based learning: A unified view", Machine Learning 1:47-80, 1986. Derivational Analogy: Carbonell, J. G., "Derivational analogy: A theory of reconstructive problem solving and expertise acquisition." In R.S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell, editors, Machine Learning: An Artificial Intelligence Approach, Morgan Kaufmann Publishers, San Mateo, CA, 1986. Theoretical Results: Haussler, D., "Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework", Artificial Intelligence, 36:177-221, 1988. Leslie G. Valiant, "A theory of the learnable", Communications of the ACM, 27(11):1134--1142, 1984. User Contributions:Comment about this article, ask questions, or add new information about this topic:Top Document: Artificial Intelligence FAQ: Bibliography 4/6 [Monthly posting] Previous Document: [4-8] Connectionism and Neural Nets Next Document: [4-10] Case-Based Reasoning Part1 - Part2 - Part3 - Part4 - Part5 - Part6 - Part7 - Single Page [ Usenet FAQs | Web FAQs | Documents | RFC Index ] Send corrections/additions to the FAQ Maintainer: crabbe@usna.edu
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