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Machine Learning Algorithms for Problem Solving in Computational Applications

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出版日:2010/08/30 作者:Chia-hung Wei (EDT); Yue Li (EDT)  出版社:Information Science Reference  裝訂:平裝
Fifteen articles on the theory and application of adaptive database search and retrieval technologies showcase current research in the growing field of machine learning algorithms. Divided into sectio
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出版日:2009/10/31 作者:Xenia Naidenova  出版社:Information Science Reference  裝訂:精裝
This book demonstrates the possibility of transforming machine learning algorithms into integrated commonsense reasoning processes in which inductive and deductive inferences correlate and support one
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出版日:2016/03/08 作者:Pandian Vasant (EDT); Gerhard-Wilhelm Weber (EDT); Vo Ngoc Dieu (EDT)  出版社:Information Science Reference  裝訂:精裝
Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational techniques for solving several
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出版日:2017/03/03 作者:Pradeep Kumar; Arvind Tiwari  出版社:Information Science Reference  裝訂:精裝
Computer scientists describe the current understanding and practice of machine learning, both supervised and unsupervised, in a range of fields. They cover mobile vision for a plant biometric syste
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出版日:2018/06/13 作者:Ashley Blackburn (EDT); Irene Linlin Chen (EDT); Rebecca Pfeffer (EDT)  出版社:Information Science Reference  裝訂:精裝
"This book disseminates practical solutions to the automation of open and distance learning. It discusses computational methods, algorithms, implemented prototype systems, and applications of open and
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