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Machine learning.......... (Record no. 20170)

MARC details
000 -LEADER
fixed length control field 02054nam a2200241 a 4500
001 - CONTROL NUMBER
control field ASIN8120334353
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200227140230.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160113s2009 xxu eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 8120334353 (paperback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788120334359 (paperback)
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Allied Book
Terms of availability PKR 833.85
040 ## - CATALOGING SOURCE
Transcribing agency AUMC
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Soman, K. P.
245 10 - TITLE STATEMENT
Title Machine learning..........
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi :
Name of publisher, distributor, etc. PHI Learning,
Date of publication, distribution, etc. 2009.
300 ## - PHYSICAL DESCRIPTION
Extent xviii,477 p. ;
Dimensions 24 cm. ( Rk #15 Sh # 03)
520 ## - SUMMARY, ETC.
Summary, etc. Support vector machines (SVMs) represent a breakthrough in the theory of learning systems. It is a new generation of learning algorithms based on recent advances in statistical learning theory. Designed for the undergraduate students of computer science and engineering, this book provides a comprehensive introduction to the state-of-the-art algorithm and techniques in this field. It covers most of the well known algorithms supplemented with code and data. One Class, Multiclass and hierarchical SVMs are included which will help the students to solve any pattern classification problems with ease and that too in Excel. This title includes extensive coverage of Lagrangian duality and iterative methods for optimization; separate chapters on kernel based spectral clustering, text mining, and other applications in computational linguistics and speech processing; a chapter on latest sequential minimization algorithms and its modifications to do online learning; step-by-step method of solving the SVM based classification problem in Excel; and, kernel versions of PCA, CCA and ICA. The CD accompanying this book includes animations on solving SVM training problem in Microsoft EXCEL and by using SVMLight software. In addition, Matlab codes are given for all the formulations of SVM along with the data sets mentioned in the exercise section of each chapter.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Loganathan, R.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Amazon.com
Uniform Resource Identifier <a href="http://www.amazon.com/exec/obidos/ASIN/8120334353/chopaconline-20">http://www.amazon.com/exec/obidos/ASIN/8120334353/chopaconline-20</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Date last checked out Price effective from Koha item type
    Dewey Decimal Classification       Air University Multan Campus Library Air University Multan Campus Library   01/13/2016 2 006.31 P001875 07/09/2019 01/23/2019 01/13/2016 Book
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