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Optimal learning /
~
Powell, Warren B., (1955-)
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Optimal learning /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Optimal learning // Warren B. Powell, Ilya O. Ryzhov.
Author:
Powell, Warren B.,
other author:
Ryzhov, Ilya Olegovich,
Published:
Hoboken, New Jersey :Wiley, : c2012.,
Description:
xix, 384 p. :ill. ;24 cm.
Subject:
Machine learning. -
ISBN:
9780470596692 (hbk.) :
Optimal learning /
Powell, Warren B.,1955-
Optimal learning /
Warren B. Powell, Ilya O. Ryzhov. - Hoboken, New Jersey :Wiley,c2012. - xix, 384 p. :ill. ;24 cm. - Wiley series in probability and statistics.
Includes bibliographical references and index.
This text presents optimal learning techniques with applications in energy, homeland security, health, sports, transportation science, biomedical research, biosurveillance, stochastic optimization, high technology, and complex resource allocation problems. The coverage utilizes a relatively new class of algorithmic strategies known as approximate dynamic programming, which merges dynamic programming (Markov decision processes), math programming (linear, nonlinear, and integer), simulation, and statistics. It features mathematical techniques that are applicable to a variety of situations, from identifying promising drug candidates to figuring out the best evacuation plan in the event of a natural disaster.
ISBN: 9780470596692 (hbk.) :US123.95
LCCN: 2011047629Subjects--Topical Terms:
533906
Machine learning.
LC Class. No.: Q325.5 / .P69 2012
Dewey Class. No.: 006.3/1
Optimal learning /
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Optimal learning /
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Warren B. Powell, Ilya O. Ryzhov.
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Hoboken, New Jersey :
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Wiley,
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c2012.
300
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xix, 384 p. :
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ill. ;
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24 cm.
490
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Wiley series in probability and statistics
504
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Includes bibliographical references and index.
520
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This text presents optimal learning techniques with applications in energy, homeland security, health, sports, transportation science, biomedical research, biosurveillance, stochastic optimization, high technology, and complex resource allocation problems. The coverage utilizes a relatively new class of algorithmic strategies known as approximate dynamic programming, which merges dynamic programming (Markov decision processes), math programming (linear, nonlinear, and integer), simulation, and statistics. It features mathematical techniques that are applicable to a variety of situations, from identifying promising drug candidates to figuring out the best evacuation plan in the event of a natural disaster.
650
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$a
Machine learning.
$3
533906
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Ryzhov, Ilya Olegovich,
$d
1985-
$3
2069961
based on 0 review(s)
ISSUES
壽豐校區(SF Campus)
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last issue:
1 (2014/11/28)
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ALL
六樓西文書區HC-Z(6F Western Language Books)
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1
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W0181730
六樓西文書區HC-Z(6F Western Language Books)
01.外借(書)_YB
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Q325.5 P69 2012
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