000			03078nam a22004693i 4500
001			EBC3074637
003			MiAaPQ
005			20240729124458.0
006			m o d |
007			cr cnu||||||||
008			240724s1996 xx o ||||0 eng d
020			_a9781461207115 _q(electronic bk.)
020			_z9781461268772
035			_a(MiAaPQ)EBC3074637
035			_a(Au-PeEL)EBL3074637
035			_a(CaPaEBR)ebr10918035
035			_a(OCoLC)958560854
040			_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ
050		4	_aQA273.A1-274.9
082	0		_a003/.52/015192
100	1		_aDevroye, Luc.
245	1	2	_aA Probabilistic Theory of Pattern Recognition.
250			_a1st ed.
264		1	_aNew York, NY : _bSpringer, _c1996.
264		4	_c©1996.
300			_a1 online resource (631 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aStochastic Modelling and Applied Probability Series ; _vv.31
505	0		_aA Probabilistic Theory of Pattern Recognition -- Editor's page -- A Probabilistic Theory of Pattern Recognition -- Copyright -- Preface -- Contents -- 1 Introduction -- 2 The Bayes Error -- 3 Inequalities and Alternate Distance Measures -- 4 Linear Discrimination -- 5 Nearest Neighbor Rules -- 6 Consistency -- 7 Slow Rates of Convergence -- 8 Error Estimation -- 9 The Regular Histogram Rule -- 10 Kernel Rules -- 11 Consistency of the k-Nearest Neighbor Rule -- 12 Vapnik -Chervonenkis Theory -- 13 Combinatorial Aspects of Vapnik -Chervonenkis Theory -- 14 Lower Bounds for Empirical Classifier Selection -- 15 The Maximum Likelihood Principle -- 16 Parametric Classification -- 17 Generalized Linear Discrimination -- 18 Complexity Regularization -- 19 Condensed and Edited Nearest Neighbor Rules -- 20 Tree Classifiers -- 21 Data- Dependent Partitioning -- 22 Splitting the Data -- 23 The Resubstitution Estimate -- 24 Deleted Estimates of the Error Probability -- 25 Automatic Kernel Rules -- 26 Automatic Nearest Neighbor Rules -- 27 Hypercubes and Discrete Spaces -- 28 Epsilon Entropy and Totally Bounded Sets -- 29 Uniform Laws of Large Numbers -- 30 Neural Networks -- 31 Other Error Estimates -- 32 Feature Extraction -- Appendix -- Notation -- References -- Author Index -- Subject Index.
588			_aDescription based on publisher supplied metadata and other sources.
590			_aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650		0	_aPattern perception.
655		4	_aElectronic books.
700	1		_aGyörfi, Laszlo.
700	1		_aLugosi, Gabor.
776	0	8	_iPrint version: _aDevroye, Luc _tA Probabilistic Theory of Pattern Recognition _dNew York, NY : Springer,c1996 _z9781461268772
797	2		_aProQuest (Firm)
830		0	_aStochastic Modelling and Applied Probability Series
856	4	0	_uhttps://ebookcentral.proquest.com/lib/orpp/detail.action?docID=3074637 _zClick to View
999			_c67371 _d67371