Using Hierarchical Bayesian Optimization to Learn and Exploit the Dependency Structures of Combinatorial Many-objective Decision Problems

Using Hierarchical Bayesian Optimization to Learn and Exploit the Dependency Structures of Combinatorial Many-objective Decision Problems
Author: Ruchit Aswin Shah
Publisher:
Total Pages: 88
Release: 2010
Genre:
ISBN:
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Using Hierarchical Bayesian Optimization to Learn and Exploit the Dependency Structures of Combinatorial Many-objective Decision Problems
Language: en
Pages: 88

Using Hierarchical Bayesian Optimization to Learn and Exploit the Dependency Structures of Combinatorial Many-objective Decision Problems

Authors: Ruchit Aswin Shah
Categories:
Type: BOOK - Published: 2010 - Publisher:

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Bayesian Methods for Knowledge Transfer and Policy Search in Reinforcement Learning
Language: en
Pages: 153

Bayesian Methods for Knowledge Transfer and Policy Search in Reinforcement Learning

Authors: Aaron Creighton Wilson
Categories: Bayesian statistical decision theory
Type: BOOK - Published: 2012 - Publisher:

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How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent acti
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Hierarchical Bayesian Optimization Algorithm

Authors: Martin Pelikan
Categories: Computers
Type: BOOK - Published: 2005-02 - Publisher: Springer Science & Business Media

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This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine l
Bayesian Optimization and Data Science
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Bayesian Optimization and Data Science

Authors: Francesco Archetti
Categories: Business & Economics
Type: BOOK - Published: 2019-09-25 - Publisher: Springer Nature

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This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework,
Combinatorial Optimization Problems in Planning and Decision Making
Language: en
Pages: 527

Combinatorial Optimization Problems in Planning and Decision Making

Authors: Michael Z. Zgurovsky
Categories: Technology & Engineering
Type: BOOK - Published: 2018-09-24 - Publisher: Springer

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The book focuses on the next fields of computer science: combinatorial optimization, scheduling theory, decision theory, and computer-aided production managemen