Kernel methods and machine learning / (Record no. 599693)

MARC details
000 -LEADER
fixed length control field 02690nam a22003978a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250919005616.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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 151016s2014||||enk s ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781139176224
Qualifying information electronic book
Terms of availability RM856.05
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201606081035
Level of effort used to assign nonsubject heading access points asmany
Level of effort used to assign subject headings 201601141606
Level of effort used to assign classification hayat
Level of effort used to assign subject headings 201601141017
Level of effort used to assign classification latihan
Level of effort used to assign subject headings 201511181628
Level of effort used to assign classification hazriq
y 10-16-2015
z hafiz
w UPO_10044530-hafizupload16102015.mrc
x 51
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Transcribing agency UkCbUP
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) ebookQ325.5.K86 2014
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) ebookQ325.5
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) .K86 2014
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kung, S. Y.,
Relator term author.
245 10 - TITLE STATEMENT
Title Kernel methods and machine learning /
Statement of responsibility, etc. S. Y. Kung.
246 3# - VARYING FORM OF TITLE
Title proper/short title Kernel methods & machine learning.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2014.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (572 pages) :
Other physical details digital, PDF file(s).
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 08 Oct 2015).
520 ## - SUMMARY, ETC.
Summary, etc. Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to proving mathematical equivalence between seemingly unrelated models. With over 25 closed-form and iterative algorithms, the book provides a step-by-step guide to algorithmic procedures and analysing which factors to consider in tackling a given problem, enabling readers to improve specifically designed learning algorithms, build models for new applications and develop efficient techniques suitable for green machine learning technologies. Numerous real-world examples and over 200 problems, several of which are Matlab-based simulation exercises, make this an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Support vector machines.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Kernel functions.
773 0# - HOST ITEM ENTRY
Title Cambridge Books Online.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781107024960.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/10.1017/CBO9781139176224">https://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/10.1017/CBO9781139176224</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b16219909
b 2022-10-14
c 2019-11-12
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type AM
Suppress in OPAC No
Call number prefix ebookQ325.5.K86 2014
914 ## - VTLS Number
VTLS Number vtls003594657
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Library
Operator's initials, OID (RLIN) 2015-03-10
Cataloger's initials, CIN (RLIN) m
Material Type (Sierra) E-Book
Language English
Country
-- 0
-- .b16219909
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Total checkouts Full call number Date last seen Copy number Price effective from Koha item type
        PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) 12/11/2019 - 0.00 .i20777516   ebookQ325.5.K86 2014 18/09/2025 1 18/09/2025 AM

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