Ilya ryzhov (4 Ergebnisse)

Sprache: Englisch
Verlag: Wiley, 2012
Serie: Buch 249 von 358 - Wiley Series in Probability and Statistics
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 134,74
EUR 13,97 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In English.

Sprache: Englisch
Verlag: John Wiley & Sons, 2012
Serie: Buch 249 von 358 - Wiley Series in Probability and Statistics
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 146,44
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Zustand: New. pp. 404.

Sprache: Englisch
Verlag: John Wiley & Sons Inc, 2012
Serie: Buch 249 von 358 - Wiley Series in Probability and Statistics
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 171,11
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Hardcover. Zustand: Brand New. 1st edition. 404 pages. 9.50x6.50x1.25 inches. In Stock.

Sprache: Englisch
Verlag: Wiley Apr 2012, 2012
Serie: Buch 249 von 358 - Wiley Series in Probability and Statistics
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 178,00
EUR 63,95 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Buch. Zustand: Neu. Neuware - Learn the science of collecting information to make effective decisionsEveryday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especially when collecting information is time-consuming and ex…pensive. Designed for readers with an elementary background in probability and statistics, the book presents effective and practical policies illustrated in a wide range of applications, from energy, homeland security, and transportation to engineering, health, and business.This book covers the fundamental dimensions of a learning problem and presents a simple method for testing and comparing policies for learning. Special attention is given to the knowledge gradient policy and its use with a wide range of belief models, including lookup table and parametric and for online and offline problems. Three sections develop ideas with increasing levels of sophistication:\* Fundamentals explores fundamental topics, including adaptive learning, ranking and selection, the knowledge gradient, and bandit problems\* Extensions and Applications features coverage of linear belief models, subset selection models, scalar function optimization, optimal bidding, and stopping problems\* Advanced Topics explores complex methods including simulation optimization, active learning in mathematical programming, and optimal continuous measurementsEach chapter identifies a specific learning problem, presents the related, practical algorithms for implementation, and concludes with numerous exercises. A related website features additional applications and downloadable software, including MATLAB and the Optimal Learning Calculator, a spreadsheet-based package that provides an introduction to learning and a variety of policies for learning.