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Optimal learning /

Powell, Warren B., (1955-)

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Optimal learning /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimal learning // Warren B. Powell, Ilya O. Ryzhov.
作者:	Powell, Warren B.,
其他作者:	Ryzhov, Ilya Olegovich,
出版者:	Hoboken, New Jersey :Wiley, : c2012.,
面頁冊數:	xix, 384 p. :ill. ;24 cm.
標題:	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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020 $a 9780470596692 (hbk.) : $c US123.95
020 $a 0470596694 (hbk.)
020 $a 9781118309858 (ebk.)
020 $a 1118309855 (ebk.)
020 $a 9781118309827 (ebk.)
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050 0 0 $a Q325.5 $b .P69 2012
082 0 0 $a 006.3/1 $2 23
084 $a MAT029000 $2 bisacsh
100 1 $a Powell, Warren B., $d 1955- $3 906625
245 1 0 $a Optimal learning / $c Warren B. Powell, Ilya O. Ryzhov.
260 # $a Hoboken, New Jersey : $b Wiley, $c c2012.
300 $a xix, 384 p. : $b ill. ; $c 24 cm.
490 1 0 $a Wiley series in probability and statistics
504 $a Includes bibliographical references and index.
520 # $a 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 # 0 $a Machine learning. $3 533906
700 1 # $a Ryzhov, Ilya Olegovich, $d 1985- $3 2069961