Gaussian processes for machine learning / (Record no. 1175216)

MARC details
000 -LEADER
fixed length control field 02419cam a22004454i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221101193634.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 070704s2006 maua b 001 0 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2005053433
011 ## - LINKING LIBRARY OF CONGRESS CONTROL NUMBER [OBSOLETE]
Local cataloguing issues note BIB MATCHES WORLDCAT
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 026218253X
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262182539
035 ## - SYSTEM CONTROL NUMBER
System control number (ATU)b11219968
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)61285753
035 ## - SYSTEM CONTROL NUMBER
System control number (DLC) 2005053433
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Modifying agency ATU
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.4
Item number .R37 2006
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.23
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Rasmussen, Carl Edward,
Relator term author.
9 (RLIN) 1062267
245 10 - TITLE STATEMENT
Title Gaussian processes for machine learning /
Statement of responsibility, etc. Carl Edward Rasmussen, Christopher K.I. Williams.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge, Mass. :
Name of producer, publisher, distributor, manufacturer MIT Press,
Date of production, publication, distribution, manufacture, or copyright notice [2006]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2006
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 248 pages :
Other physical details illustrations ;
Dimensions 26 cm.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Adaptive computation and machine learning
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 223-238) and index.
505 00 - FORMATTED CONTENTS NOTE
Miscellaneous information 1.
Title Introduction --
Miscellaneous information 2.
Title Regression --
Miscellaneous information 3.
Title Classification --
Miscellaneous information 4.
Title Covariance functions --
Miscellaneous information 5.
Title Model selection and adaptation of hyperparameters --
Miscellaneous information 6.
Title Relationships between GPs and other models --
Miscellaneous information 7.
Title Theoretical perspectives --
Miscellaneous information 8.
Title Approximation methods for large datasets --
Miscellaneous information 9.
Title Further issues and conclusions.
520 1# - SUMMARY, ETC.
Summary, etc. "Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics."--BOOK JACKET.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Machine converted from AACR2 source record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Gaussian processes
General subdivision Data processing
9 (RLIN) 779461
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
General subdivision Mathematical models
9 (RLIN) 718591
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Williams, Christopher K. I.,
Relator term author.
9 (RLIN) 248887
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Adaptive computation and machine learning.
9 (RLIN) 1021113
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b11219968
b 03-10-17
c 27-10-15
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
a 519.23 RAS
g 1
i A402039B
j 0
l cmain
o -
p $45.97
q -
r -
s -
t 0
u 2
v 0
w 0
x 0
y .i12579786
z 29-10-15
998 ## - LOCAL CONTROL INFORMATION (RLIN)
-- b
-- c
Operator's initials, OID (RLIN) 06-04-16
Cataloger's initials, CIN (RLIN) m
First date, FD (RLIN) a
-- eng
-- mau
-- 0
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Inventory number Total Checkouts Total Renewals Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
        City Campus City Campus City Campus Main Collection 29/10/2015 45.97 i12579786 2   519.23 RAS A402039B 29/10/2015 1 45.97 31/10/2021 Book

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