Twin Support Vector Machines (Record no. 80883)
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000 -LEADER | |
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fixed length control field | 03285nam a22005415i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-46186-1 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801222536.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 161012s2017 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319461861 |
-- | 978-3-319-46186-1 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Jayadeva. |
245 10 - TITLE STATEMENT | |
Title | Twin Support Vector Machines |
Sub Title | Models, Extensions and Applications / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIV, 211 p. 21 illus., 20 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Studies in Computational Intelligence, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Generalized Eigenvalue Proximal Support Vector Machines -- Twin Support Vector Machines (TWSVM) for Classification -- TWSVR: Twin Support Vector Machine Based Regression -- Variants of Twin Support Vector Machines: Some More Formulations -- TWSVM for Unsupervised and Semi-Supervised Learning -- Some Additional Topics -- Applications Based on TWSVM -- References. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance. |
700 1# - AUTHOR 2 | |
Author 2 | Khemchandani, Reshma. |
700 1# - AUTHOR 2 | |
Author 2 | Chandra, Suresh. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-46186-1 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2017. |
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-- | txt |
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-- | computer |
-- | c |
-- | rdamedia |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1860-9503 ; |
912 ## - | |
-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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