000			02679nam a2200481 i 4500
001			6267437
003			IEEE
005			20190220121647.0
006			m o d
007			cr |n|||||||||
008			151223s2000 maua ob 001 eng d
020			_a9780262283977 _qebook
020			_z0262283972 _qelectronic
020			_z9780262194488 _qprint
035			_a(CaBNVSL)mat06267437
035			_a(IDAMS)0b000064818b444d
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQ325.5 _b.A34 2000eb
245	0	0	_aAdvances in large margin classifiers / _cedited by Alexander J. Smola ... [et al.].
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc2000.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2000]
300			_a1 PDF (vi, 412 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aAdvances in neural information processing systems [i.e. Neural information processing series]
504			_aIncludes bibliographical references (p. [389]-407) and index.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aThe concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a key tool for dealing with classifiers. This book shows how this idea applies to both the theoretical analysis and the design of algorithms.The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. Among the contributors are Manfred Opper, Vladimir Vapnik, and Grace Wahba.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/23/2015.
650		0	_aKernel functions.
650		0	_aAlgorithms.
650		0	_aMachine learning.
655		0	_aElectronic books.
700	1		_aSmola, Alexander J.
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aMIT Press, _epublisher.
776	0	8	_iPrint version _z9780262194488
830		0	_aNeural information processing series.
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267437
999			_c39350 _d39350