Machine learning

Xin YAO; Yong LIU

doi:10.1007/978-1-4614-6940-7_17

Machine learning

Xin YAO^*, Yong LIU

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Book Chapter › Research › peer-review

7 Citations (Scopus)

Abstract

Machine learning is a very active sub-field of artificial intelligence concerned with the development of computational models of learning. Machine learning is inspired by the work in several disciplines: Cognitive sciences, computer science, statistics, computational complexity, information theory, control theory, philosophy and biology. Simply speaking, machine learning is learning by machine. From a computational point of view, machine learning refers to the ability of a machine to improve its performance based on previous results. From a biological point of view, machine learning is the study of how to create computers that will learn from experience and modify their activity based on that learning as opposed to traditional computers whose activity will not change unless the programmer explicitly changes it. © Springer Science+Business Media New York 2014.

Original language	English
Title of host publication	Search Methodologies : Introductory Tutorials in Optimization and Decision Support Techniques, Second Edition
Editors	Edmund K. BURKE, Graham KENDALL
Publisher	Springer US
Chapter	17
Pages	477-518
Number of pages	42
Edition	2nd
ISBN (Electronic)	9781461469407
ISBN (Print)	9781461469407
DOIs	https://doi.org/10.1007/978-1-4614-6940-7_17
Publication status	Published - 2014
Externally published	Yes

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10.1007/978-1-4614-6940-7_17

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title = "Machine learning",

abstract = "Machine learning is a very active sub-field of artificial intelligence concerned with the development of computational models of learning. Machine learning is inspired by the work in several disciplines: Cognitive sciences, computer science, statistics, computational complexity, information theory, control theory, philosophy and biology. Simply speaking, machine learning is learning by machine. From a computational point of view, machine learning refers to the ability of a machine to improve its performance based on previous results. From a biological point of view, machine learning is the study of how to create computers that will learn from experience and modify their activity based on that learning as opposed to traditional computers whose activity will not change unless the programmer explicitly changes it. {\textcopyright} Springer Science+Business Media New York 2014.",

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AU - YAO, Xin

AU - LIU, Yong

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AB - Machine learning is a very active sub-field of artificial intelligence concerned with the development of computational models of learning. Machine learning is inspired by the work in several disciplines: Cognitive sciences, computer science, statistics, computational complexity, information theory, control theory, philosophy and biology. Simply speaking, machine learning is learning by machine. From a computational point of view, machine learning refers to the ability of a machine to improve its performance based on previous results. From a biological point of view, machine learning is the study of how to create computers that will learn from experience and modify their activity based on that learning as opposed to traditional computers whose activity will not change unless the programmer explicitly changes it. © Springer Science+Business Media New York 2014.

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DO - 10.1007/978-1-4614-6940-7_17

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A2 - KENDALL, Graham

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ER -

Machine learning

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Machine learning

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