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Support vector machines and their application in chemistry and biotechnology (Record no. 15550)

MARC details
000 -LEADER
fixed length control field 02257nam a2200325Ia 4500
001 - CONTROL NUMBER
control field CRC0KE11001PDF
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20171224123712.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110705s2011 fluad sb 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439821282 (ebook : PDF)
040 ## - CATALOGING SOURCE
Original cataloging agency FlBoTFG
Transcribing agency FlBoTFG
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) Q325.5
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) .L54 2011
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number 542.85
Item number L693
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Liang, Yizeng.
245 10 - TITLE STATEMENT
Title Support vector machines and their application in chemistry and biotechnology
Medium [electronic resource] /
Statement of responsibility, etc Yizeng Liang ... [et al.].
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton, Fla. :
Name of publisher, distributor, etc CRC Press,
Date of publication, distribution, etc 2011.
300 ## - PHYSICAL DESCRIPTION
Extent x, 201 p. :
Other physical details ill.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note ch. 1. Overview of support vector machines -- ch. 2. Support vector machines for classification and regression -- ch. 3. Kernel methods -- ch. 4. Ensemble learning of support vector machines -- ch. 5. Support vector machines applied to near-infrared spectroscopy -- ch. 6. Support vector machines and QSAR/QSPR -- ch. 7. Support vector machines applied to traditional Chinese medicine -- ch. 8. Support vector machines applied to OMICS study.
520 ## - SUMMARY, ETC.
Summary, etc "Support vector machines (SVMs), a promising machine learning method, is a powerful tool for chemical data analysis and for modeling complex physicochemical and biological systems. It is of growing interest to chemists and has been applied to problems in such areas as food quality control, chemical reaction monitoring, metabolite analysis, QSAR/QSPR, and toxicity. This book presents the theory of SVMs in a way that is easy to understand regardless of mathematical background. It includes simple examples of chemical and OMICS data to demonstrate the performance of SVMs and compares SVMs to other traditional classification/regression methods"--
-- Provided by publisher.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print edition.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Support vector machines.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Chemometrics.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term lcsh
776 1# - ADDITIONAL PHYSICAL FORM ENTRY
International Standard Book Number 9781439821275
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://marc.crcnetbase.com/isbn/9781439821282">http://marc.crcnetbase.com/isbn/9781439821282</a>
Electronic format type application/PDF
Public note Distributed by publisher. Purchase or institutional license may be required for access.

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