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Machine learning : an artificial intelligence approach

Author: John R Anderson; Ryszard Stanisław Michalski; Jaime G Carbonell; Tom M Mitchell
Publisher: Palo Alto, Calif. : Tioga Pub. Co., ©1983.
Edition/Format:   Book : EnglishView all editions and formats
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Additional Physical Format: Online version:
Machine learning.
Palo Alto, Calif. : Tioga Pub. Co., ©1983
(OCoLC)561566438
Document Type: Book
All Authors / Contributors: John R Anderson; Ryszard Stanisław Michalski; Jaime G Carbonell; Tom M Mitchell
ISBN: 0935382054 9780935382051
OCLC Number: 9262069
Description: xi, 572 pages : illustrations ; 24 cm
Contents: General issues in machine learning : An overview of machine learning / Jaime G. Carbonell, Ryszard S. Michalski, and Tom M. Mitchell ; Why should machines learn? / Herbert A. Simon --
Learning from examples : A comparative review of selected methods for learning from examples / Thomas G. Dietterich and Ryszard S. Michalski ; A theory and methodology of inductive learning / Ryszard S. Michalski --
Learning in problem-solving and planning : Learning by analogy: formulating and generalizing plans from past experience / Jaime G. Carbonell ; Learning by experimentation: acquiring and refining problem-solving heuristics / Tom M. Mitchell, Paul E. Utgoff, and Ranan Banerji ; Acquisition of proof skills in geometry / John R. Anderson ; Using proofs and refutations to learn from experience / Frederick Hayes-Roth --
Learning from observation and discovery : The role of heuristics in learning by discovery: three case studies / Douglas B. Lenat ; Rediscovering chemistry with the BACON system / Pat Langley, Gary L. Bradshaw, and Herbert A. Simon ; Learning from observation: conceptual clustering / Ryszard S. Michalski and Robert E. Stepp --
Learning from instruction : Machine transformation of advice into a heuristic search procedure / David Jack Mostow ; Learning by being told: acquiring knowledge for information management / Norm Hass and Gary G. Hendrix ; The instructible production system: a retrospective analysis / Michael D. Rychener --
Applied learning systems: Learning efficient classification procedures and their application to chess end games / J. Ross Quinlan ; Inferring student models for intelligent computer-aided instruction / Derek H. Sleeman ; Comprehensive bibliography of machine learning / Paul E. Utgoff and Bernard Nudel.
Responsibility: contributing authors, John Anderson [and others] ; editors, Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell.

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