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Statistical Learning and Data Sciences : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings / edited by Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Gammerman, A. (Alexander), Editor.
Vovk, Vladimir., Editor.
Papadopoulos, Harris, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 9047
Lecture Notes in Artificial Intelligence, 2945-9141 ; 9047
Language:
English
Subjects (All):
Artificial intelligence.
Algorithms.
Application software.
Database management.
Computer science.
Information storage and retrieval systems.
Artificial Intelligence.
Computer and Information Systems Applications.
Database Management.
Theory of Computation.
Information Storage and Retrieval.
Local Subjects:
Artificial Intelligence.
Algorithms.
Computer and Information Systems Applications.
Database Management.
Theory of Computation.
Information Storage and Retrieval.
Physical Description:
1 online resource (XIV, 444 pages) : 133 illustrations
Edition:
1st ed. 2015.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.
Other Format:
Printed edition:
ISBN:
978-3-319-17091-6
9783319170916
Access Restriction:
Restricted for use by site license.

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