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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Scopus citations

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.

Original language	English
Title of host publication	Informatics for Materials Science and Engineering
Subtitle of host publication	Data-Driven Discovery for Accelerated Experimentation and Application
Publisher	Elsevier Inc.
Pages	37-51
Number of pages	15
ISBN (Print)	9780123943996
DOIs	https://doi.org/10.1016/B978-0-12-394399-6.00003-5
State	Published - 2013
Externally published	Yes

Keywords

Machine learning
Optimal learning
Piezoelectrics
Statistical learning theory

Access to Document

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

Cite this

@inbook{06b5641c324440f4a5745248356d93fd,

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",

year = "2013",

doi = "10.1016/B978-0-12-394399-6.00003-5",

language = "英语",

isbn = "9780123943996",

pages = "37--51",

booktitle = "Informatics for Materials Science and Engineering",

publisher = "Elsevier Inc.",

}

TY - CHAP

T1 - Novel Approaches to Statistical Learning in Materials Science

AU - Alexander, F. J.

AU - Lookman, T.

PY - 2013

Y1 - 2013

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

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this