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005 20160527040910.3
006 m o d
007 cr cn|||||||||
008 030311s2003 ne a ob 101 0 eng d
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020 1586033417
020 9781586033415
020 427490587X|q(Ohmsha)
020 9784274905872|q(Ohmsha)
020 1417511397|q(electronic book)
020 9781417511396|q(electronic book)
020 1601294018
020 9781601294012
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049 RIDW
050 4 Q325.7|b.N37 2003eb
072 7 QA|2lcco
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082 04 006.3/1|222
090 Q325.7|b.N37 2003eb
111 2 NATO Advanced Study Institute on Learning Theory and
Practice|d(2002 :|cLouvain, Belgium)|0https://id.loc.gov/
authorities/names/n2003116148
245 10 Advances in learning theory :|bmethods, models, and
applications /|cedited by Johan Suykens [and others].
264 1 Amsterdam ;|aWashington, DC :|bIOS Press ;|aTokyo :
|bOhmsha,|c[2003]
264 4 |c©2003
300 1 online resource (xxi, 415 pages) :|billustrations.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc
347 text file|2rdaft
490 1 NATO science series. Series III, Computer and systems
sciences,|x1387-6694 ;|vv. 190
500 "Proceedings of the NATO Advanced Study Institute on
Learning Theory and Practice, 8-19 July 2002, Leuven,
Belgium"--Title page verso.
500 "Published in cooperation with NATO Scientific Affairs
Division."
504 Includes bibliographical references and indexes.
505 0 Cover; Title page; Preface; Organizing committee; List of
chapter contributors; Contents; 1 An Overview of
Statistical Learning Theory; 2 Best Choices for
Regularization Parameters in Learning Theory: On the Bias-
Variance Problem; 3 Cucker Smale Learning Theory in Besov
Spaces; 4 High-dimensional Approximation by Neural
Networks; 5 Functional Learning through Kernels; 6 Leave-
one-out Error and Stability of Learning Algorithms with
Applications; 7 Regularized Least-Squares Classification;
8 Support Vector Machines: Least Squares Approaches and
Extensions.
506 |3Use copy|fRestrictions unspecified|2star|5MiAaHDL
520 This text details advances in learning theory that relate
to problems studied in neural networks, machine learning,
mathematics and statistics.
533 Electronic reproduction.|b[S.l.] :|cHathiTrust Digital
Library,|d2011.|5MiAaHDL
538 Master and use copy. Digital master created according to
Benchmark for Faithful Digital Reproductions of Monographs
and Serials, Version 1. Digital Library Federation,
December 2002.|uhttp://purl.oclc.org/DLF/benchrepro0212
|5MiAaHDL
583 1 digitized|c2011|hHathiTrust Digital Library|lcommitted to
preserve|2pda|5MiAaHDL
588 0 Print version record.
590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic
Collection - North America
650 0 Computational learning theory|0https://id.loc.gov/
authorities/subjects/sh94004662|vCongresses.|0https://
id.loc.gov/authorities/subjects/sh99001533
650 0 Machine learning|0https://id.loc.gov/authorities/subjects/
sh85079324|xMathematical models|0https://id.loc.gov/
authorities/subjects/sh2002007921|vCongresses.|0https://
id.loc.gov/authorities/subjects/sh99001533
650 7 Computational learning theory.|2fast|0https://
id.worldcat.org/fast/871997
650 7 Machine learning|xMathematical models.|2fast|0https://
id.worldcat.org/fast/1004800
650 7 Machine learning.|2fast|0https://id.worldcat.org/fast/
1004795
655 4 Electronic books.
655 4 Electronic books|xConference proceedings.
655 7 Conference papers and proceedings.|2fast|0https://
id.worldcat.org/fast/1423772
655 7 Conference papers and proceedings.|2lcgft|0https://
id.loc.gov/authorities/genreForms/gf2014026068
700 1 Suykens, Johan A. K.|0https://id.loc.gov/authorities/names
/n95114980
776 08 |iPrint version:|aNATO Advanced Study Institute on
Learning Theory and Practice (2002 : Louvain, Belgium).
|tAdvances in learning theory.|dAmsterdam ; Washington, DC
: IOS Press ; Tokyo : Ohmsha, ©2003|z1586033417
|z427490587X|w(DLC) 2003103695|w(OCoLC)53136779
830 0 NATO science series.|nSeries III,|pComputer and systems
sciences ;|vv. 190.|x1387-6694
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=110129|zOnline eBook. Access restricted to
current Rider University students, faculty, and staff.
856 42 |3Instructions for reading/downloading this eBook|uhttp://
guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d20160615|cEBSCO|tebscoebooksacademic|lridw
994 92|bRID
