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|a Machine learning applications in software engineering /
|c Du Zhang [and] Jeffrey J.P. Tsai.
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|a Hackensack, N.J. :
|b World Scientific,
|c ©2005.
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|a 1 online resource (x, 355 pages) :
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|a Series on software engineering and knowledge engineering ;
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|a Includes bibliographical references (pages 345-355) and index.
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|a Print version record.
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|a ACKNOWLEDGMENT; TABLE OF CONTENTS; Chapter 1 Introduction to Machine Learning and Software Engineering; Chapter 2 ML Applications in Prediction and Estimation; Chapter 3 ML Applications in Property and Model Discovery; Chapter 4 ML Applications in Transformation; Chapter 5 ML Applications in Generation and Synthesis; Chapter 6 ML Applications in Reuse; Chapter 7 ML Applications in Requirement Acquisition; Chapter 8 ML Applications in Management of Development Knowledge; Chapter 9 Guidelines and Conclusion; References.
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|a Machine learning deals with the issue of how to build computerprograms that improve their performance at some tasks throughexperience. Machine learning algorithms have proven to be of greatpractical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile groundwhere many software development and maintenance tasks could beformulated as learning problems and approached in terms of learningalgorithms.
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|a Software engineering.
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|a Computer software
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|a Computer software
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|a Machine learning.
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|a Génie logiciel.
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|a Logiciels
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|a Apprentissage automatique.
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|a Computer software
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|a Zhang, Du.
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|a Tsai, Jeffrey J. P.
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|i Print version:
|t Machine learning applications in software engineering.
|d Hackensack, N.J. : World Scientific, ©2005
|z 9812560947
|w (OCoLC)60338320
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|a Series on software engineering and knowledge engineering ;
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