Learning from data : (Record no. 39934)
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000 -LEADER | |
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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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