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[null,"1.","Record Nr.",null,"UNINA9910450220803321"]
[null,null,"Titolo",null,"Machine learning applications in software engineering [[electronic resource] /] / editors, Du Zhang, Jeffrey J.P. Tsai"]
[null,null,"Pubbl/distr/stampa",null,"Hackensack,  N.J. ; ; Hong Kong, : World Scientific, c2005"]
[null,null,"ISBN",null,"1-281-37255-2"]
[{"$nulls":4},"9786611372552"]
[{"$nulls":4},"981-256-927-8"]
[null,null,"Descrizione fisica",null,"1 online resource (367 p.)"]
[null,null,"Collana",null,"Series on software engineering and knowledge engineering ; ; v. 16"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Software engineering"]
[{"$nulls":4},"Computer software - Quality control"]
[{"$nulls":4},"Computer software - Evaluation"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 345-355) and index."]
[null,null,"Nota di contenuto",null,"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"]
[null,null,null,"Sommario/riassunto","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."]