MARC details
000 -LEADER |
fixed length control field |
03708cam a2200373 i 4500 |
001 - CONTROL NUMBER |
control field |
on1221016186 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240726104827.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
201015s2021 nyuab ob 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2020047111 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
OCLCO |
-- |
OCLCF |
-- |
YDX |
-- |
OCLCO |
-- |
NT |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781536188653 |
Qualifying information |
|
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 04 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA325 |
Item number |
.S877 2021 |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
MAIN |
245 10 - TITLE STATEMENT |
Title |
Support vector machines : |
Remainder of title |
evolution and applications / |
Statement of responsibility, etc. |
Pooja Saigal, editor. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (xii, 233 pages) : |
Other physical details |
illustrations (some color), color maps |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
data file |
Source |
rda |
490 1# - SERIES STATEMENT |
Series statement |
Computer science, technology and applications |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographies and index. |
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction to support vector machines / |
Statement of responsibility |
Pooja Saigal, PhD, Vivekananda School of Information Technology, Vivekananda Institute of Professional Studies, New Delhi, India -- |
Title |
Journey of support vector machines : from maximum-margin hyperplane to a pair of non-parallel hyperplanes / |
Statement of responsibility |
Pooja Saigal, PhD, Vivekananda School of Information Technology, Vivekananda Institute of Professional Studies, New Delhi, India -- |
Title |
Power spectrum entropy-based support vector machine for quantitative diagnosis of rotor vibration process faults / |
Statement of responsibility |
Cheng-Wei Fei, Department of Aeronautics and Astronautics, Fudan University, Shanghai, China. |
520 0# - SUMMARY, ETC. |
Summary, etc. |
"Support Vector Machines: Evolution and Applications reviews the basics of Support Vector Machines (SVM), their evolution and applications in diverse fields. SVM is an efficient supervised learning approach popularly used for pattern recognition, medical image classification, face recognition and various other applications. In the last 25 years, a lot of research has been carried out to extend the use of SVM to a variety of domains. This book is an attempt to present the description of a conventional SVM, along with discussion of its different versions and recent application areas. The first chapter of this book introduces SVM and presents the optimization problems for a conventional SVM. Another chapter discusses the journey of SVM over a period of more than two decades. SVM is proposed as a separating hyperplane classifier that partitions the data belonging to two classes. Later on, various versions of SVM are proposed that obtain two hyperplanes instead of one. A few of these variants of SVM are discussed in this book. The major part of this book discusses some interesting applications of SVM in areas like quantitative diagnosis of rotor vibration process faults through power spectrum entropy-based SVM, hardware architectures of SVM applied in pattern recognition systems, speaker recognition using SVM, classification of iron ore in mines and simultaneous prediction of the density and viscosity for the ternary system water- ethanol-ethylene glycol ionic liquids. The latter part of the book is dedicated to various approaches for the extension of SVM and similar classifiers to a multi-category framework, so that they can be used for the classification of data with more than two classes"-- |
Assigning source |
|
530 ## - COPYRIGHT INFORMATION: |
COPYRIGHT INFORMATION |
COPYRIGHT NOT covered - Click this link to request copyright permission: |
Uniform Resource Identifier |
<a href="b">b</a> |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Support vector machines. |
655 #1 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic Books. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Saigal, Pooja, |
Relator term |
|
856 40 - ELECTRONIC LOCATION AND ACCESS |
-- |
Click to access digital title | log in using your CIU ID number and my.ciu.edu password. |
Uniform Resource Identifier |
<a href="httpss://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2608287&site=eds-live&custid=s3260518">httpss://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2608287&site=eds-live&custid=s3260518</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) |
DONATED BY: |
|
VENDOR |
EBSCO |
Classification part |
QA. |
PUBLICATION YEAR |
2021 |
LOCATION |
ONLINE |
REQUESTED BY: |
|
-- |
|
-- |
NFIC |
Source of classification or shelving scheme |
|
994 ## - |
-- |
92 |
-- |
NT |
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
a |
1 |
b |
Cynthia Snell |
c |
1 |
d |
Cynthia Snell |