Learning from data : (Record no. 39934)

MARC details
000 -LEADER
fixed length control field 04909nam a2201225 i 4500
001 - CONTROL NUMBER
control field 5201503
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230927112341.0
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 |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101007t20152007njua ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470140529
Qualifying information electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780471681823
Qualifying information paper
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0470140526
Qualifying information electronic
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9780470140529
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)mat05201503
035 ## - SYSTEM CONTROL NUMBER
System control number (IDAMS)0b0000648104a999
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cherkassky, Vladimir S.
Relator term author.
245 10 - TITLE STATEMENT
Title Learning from data :
Remainder of title concepts, theory, and methods /
Statement of responsibility, etc. Vladimir Cherkassky, Filip Mulier.
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer IEEE Press :
Date of production, publication, distribution, manufacture, or copyright notice c2007.
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xviii, 538 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 519-531) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Problem statement, classical approaches, and adaptive learning -- Regularization framework -- Statistical learning theory -- Nonlinear optimization strategies -- Methods for data reduction and dimensionality reduction -- Methods for regression -- Classification -- Support vector machines -- Noninductive inference and alternative learning formulations.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Restricted to subscribers or individual electronic text purchasers.
520 ## - SUMMARY, ETC.
Summary, etc. An interdisciplinary framework for learning methodologies--covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied--showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
533 ## - REPRODUCTION NOTE
Type of reproduction Electronic reproduction.
Place of reproduction Piscataway, N.J. :
Agency responsible for reproduction IEEE,
Date of reproduction 2010.
Note about reproduction Mode of access: World Wide Web.
-- System requirements: Web browser.
-- Title from title screen (viewed on Oct. 7, 2010).
-- Access may be restricted to users at subscribing institutions.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on PDF viewed 12/19/2015.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Adaptive signal processing.
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 Neural networks (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fuzzy systems.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
695 ## -
-- Adaptation model
695 ## -
-- Aerospace electronics
695 ## -
-- Analytical models
695 ## -
-- Approximation algorithms
695 ## -
-- Approximation methods
695 ## -
-- Artificial intelligence
695 ## -
-- Artificial neural networks
695 ## -
-- Bibliographies
695 ## -
-- Biological system modeling
695 ## -
-- Biology
695 ## -
-- Books
695 ## -
-- Boosting
695 ## -
-- Clustering algorithms
695 ## -
-- Clustering methods
695 ## -
-- Complexity theory
695 ## -
-- Convergence
695 ## -
-- Data models
695 ## -
-- Dictionaries
695 ## -
-- Eigenvalues and eigenfunctions
695 ## -
-- Encoding
695 ## -
-- Estimation
695 ## -
-- Function approximation
695 ## -
-- Generators
695 ## -
-- Hafnium
695 ## -
-- Humans
695 ## -
-- Hypercubes
695 ## -
-- Indexes
695 ## -
-- Iterative methods
695 ## -
-- Kernel
695 ## -
-- Learning systems
695 ## -
-- Linear approximation
695 ## -
-- Machine learning
695 ## -
-- Matrix decomposition
695 ## -
-- Minimization
695 ## -
-- Newton method
695 ## -
-- Optimization
695 ## -
-- Optimization methods
695 ## -
-- Parameter estimation
695 ## -
-- Pattern recognition
695 ## -
-- Polynomials
695 ## -
-- Predictive models
695 ## -
-- Principal component analysis
695 ## -
-- Probabilistic logic
695 ## -
-- Probability
695 ## -
-- Prototypes
695 ## -
-- Risk management
695 ## -
-- Sections
695 ## -
-- Singular value decomposition
695 ## -
-- Statistical learning
695 ## -
-- Support vector machines
695 ## -
-- Symmetric matrices
695 ## -
-- Taxonomy
695 ## -
-- Training
695 ## -
-- Training data
695 ## -
-- Uncertainty
695 ## -
-- Unsupervised learning
695 ## -
-- Vector quantization
695 ## -
-- Vectors
695 ## -
-- Zinc
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mulier, Filip.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element IEEE Xplore (Online service),
Relator term distributor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9780471681823
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier <a href="https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5201503">https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5201503</a>

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