000			02359nam a22003858i 4500
005			20250930140447.0
008			150409s2014 nju 001 0 eng
020			_a9781118315231 _qhardback _cRM411.21
039		9	_a201507211531 _batika _c201507081605 _drosli _c201506181113 _drahah _y04-09-2015 _zrahah
040			_aDLC _beng _cDLC _erda _dUKM
090			_aTK7882.P3K836 2014 3
090			_aTK7882.P3 _bK836 2014 3
100	1		_aKuncheva, Ludmila I. _q(Ludmila Ilieva), _d1959-, _eauthor.
245	1	0	_aCombining pattern classifiers : _bmethods and algorithms / _cLudmila I. Kuncheva.
250			_aSecond edition.
264		1	_aHoboken, NJ : _bWiley, _c2014.
264		4	_c©2014.
300			_a357 pages. : _billustration, ; _c16 cm.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
500			_aIncludes index.
520			_a'Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers. In a didactic, detailed assessment, Combining Pattern Classifiers examines the basic theories and tactics of classifier combination while presenting the most recent research in the field. Among the pattern recognition tasks that this book explores are mail sorting, face recognition, signature verification, decoding brain fMRI images, identifying emotions, analyzing gene microarray data, and spotting patterns in consumer preference. This updated second edition is equipped with the latest knowledge for academics, students, and practitioners involved in pattern recognition fields'-- _cProvided by publisher.
520			_a'Classifier Combination is a field of growing interest within the very large area of Pattern Classification'-- _cProvided by publisher.
650		0	_aPattern recognition systems.
650		0	_aImage processing _xDigital techniques. _959990
907			_a.b16116999 _b2019-11-12 _c2019-11-12
942			_c01 _n0 _kTK7882.P3K836 2014 3
914			_avtls003583367
990			_ark4
991			_aFakulti Kejuruteraan dan Seni Bina
998			_al _b2015-09-04 _cm _da _feng _gnju _y0 _z.b16116999
999			_c590664 _d590664