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100503s1993 caua ob 101 0 eng d |
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0 |
0 |
|a Machine learning methods for planning /
|c edited by Steven Minton.
|
| 260 |
|
|
|a San Mateo, Calif. :
|b M. Kaufmann,
|c ©1993.
|
| 300 |
|
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|a 1 online resource (xiii, 540 pages) :
|b illustrations
|
| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
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| 338 |
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|a online resource
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|a The Morgan Kaufmann series in machine learning
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|a Includes bibliographical references and index.
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
|u http://purl.oclc.org/DLF/benchrepro0212
|5 MiAaHDL
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| 583 |
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|a digitized
|c 2010
|h HathiTrust Digital Library
|l committed to preserve
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|a Actas del Symposium on Learning Methods for Planning Systems, held Jan. 5-6, 1991, at Stanford University.
|
| 588 |
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|a Print version record.
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| 650 |
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|a Machine learning.
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|a Artificial intelligence.
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2 |
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|a Intelligence artificielle.
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|a Apprentissage automatique.
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|a Electronic books.
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|a Minton, Steven.
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|a ScienceDirect (Online service)
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|a Symposium on Learning Methods for Planning Systems
|d (1991 :
|c Stanford University)
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| 758 |
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|i has work:
|a Machine learning methods for planning (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFHTPJcxhx6JbQKJmhg4tq
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|i Print version:
|t Machine learning methods for planning.
|d San Mateo, Calif. : M. Kaufmann, ©1993
|w (DLC) 92019279
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|a Morgan Kaufmann series in machine learning.
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|a Texas A&M University
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|h Library of Congress classification
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| 998 |
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