Novel Approaches to Statistical Learning in Materials Science

F. J. Alexander; T. Lookman

doi:10.1016/B978-0-12-394399-6.00003-5

Novel Approaches to Statistical Learning in Materials Science

F. J. Alexander
, T. Lookman

Computational Earth Science, Earth and Environmental Sciences Division, Los Alamos National Laboratory

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

4 引用（Scopus）

摘要

We describe developments in statistical learning theory and their application to problems in materials science. An example in the context of piezoelectrics is also discussed.

源语言	英语
主期刊名	Informatics for Materials Science and Engineering
主期刊副标题	Data-Driven Discovery for Accelerated Experimentation and Application
出版商	Elsevier Inc.
页	37-51
页数	15
ISBN（印刷版）	9780123943996
DOI	https://doi.org/10.1016/B978-0-12-394399-6.00003-5
出版状态	已出版 - 2013
已对外发布	是

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10.1016/B978-0-12-394399-6.00003-5

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title = "Novel Approaches to Statistical Learning in Materials Science",

abstract = "We describe developments in statistical learning theory and their application to problems in materials science. An example in the context of piezoelectrics is also discussed.",

keywords = "Machine learning, Optimal learning, Piezoelectrics, Statistical learning theory",

author = "Alexander, \{F. J.\} and T. Lookman",

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AU - Lookman, T.

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N2 - We describe developments in statistical learning theory and their application to problems in materials science. An example in the context of piezoelectrics is also discussed.

AB - We describe developments in statistical learning theory and their application to problems in materials science. An example in the context of piezoelectrics is also discussed.

KW - Machine learning

KW - Optimal learning

KW - Piezoelectrics

KW - Statistical learning theory

UR - https://www.scopus.com/pages/publications/84903323504

U2 - 10.1016/B978-0-12-394399-6.00003-5

DO - 10.1016/B978-0-12-394399-6.00003-5

M3 - 章节

AN - SCOPUS:84903323504

SN - 9780123943996

SP - 37

EP - 51

BT - Informatics for Materials Science and Engineering

PB - Elsevier Inc.

ER -

Novel Approaches to Statistical Learning in Materials Science

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