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1. |
Record Nr. |
UNINA9910783718703321 |
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Titolo |
Machine learning applications in software engineering [[electronic resource] /] / editors, Du Zhang, Jeffrey J.P. Tsai |
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Pubbl/distr/stampa |
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Hackensack, N.J. ; ; Hong Kong, : World Scientific, c2005 |
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ISBN |
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1-281-37255-2 |
9786611372552 |
981-256-927-8 |
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Descrizione fisica |
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1 online resource (367 p.) |
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Collana |
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Series on software engineering and knowledge engineering ; ; v. 16 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Software engineering |
Computer software - Quality control |
Computer software - Evaluation |
Machine learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 345-355) and index. |
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Nota di contenuto |
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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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Sommario/riassunto |
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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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2. |
Record Nr. |
UNINA9910557134603321 |
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Autore |
Leonski WiesÅaw |
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Titolo |
Quantum Information and Symmetry |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (104 p.) |
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Soggetti |
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Research & information: general |
Research and information: general |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Recent research in the fields related to the quantum information theory (QIT) is becoming some of the most intriguing and promising investigations in contemporary physics. Many novel QIT concepts are discussed in the literature, and the broad range of new models of quantum optics and solid-state physics have been recently considered in the context of QIT. Theideas of symmetry are widely discussed in all physical sciences, becoming keystones of various concepts and considerations, leading to novel discoveries in physics. Thus, this Special Issue is devoted to the broad range of QIT topics that are related to the ideas of symmetry. It covers a broad range of ideas that can develop upon the basic research and applications in the field of quantum information, and in general, quantum theory. |
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