Support vector machines : (Record no. 79645)

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
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
        Non-fiction G. Allen Fleece Library G. Allen Fleece Library ONLINE 07/07/2023 EBSCO   QA325.785 on1221016186 07/07/2023 httpss://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2608287&site=eds-live&custid=s3260518 07/07/2023 Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD)