000			02824nam a22005415i 4500
001			978-3-642-29029-9
003			DE-He213
005			20200421112542.0
007			cr nn 008mamaa
008			120724s2013 gw | s |||| 0|eng d
020			_a9783642290299 _9978-3-642-29029-9
024	7		_a10.1007/978-3-642-29029-9 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aMarques de S�a, Joaquim P. _eauthor.
245	1	0	_aMinimum Error Entropy Classification _h[electronic resource] / _cby Joaquim P. Marques de S�a, Lu�is M.A. Silva, Jorge M.F. Santos, Lu�is A. Alexandre.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013.
300			_aXVIII, 262 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStudies in Computational Intelligence, _x1860-949X ; _v420
505	0		_aIntroduction -- Continuous Risk Functionals -- MEE with Continuous Errors -- MEE with Discrete Errors -- EE-Inspired Risks -- Applications.
520			_aThis book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aStatistical physics.
650		0	_aDynamical systems.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aStatistical Physics, Dynamical Systems and Complexity.
700	1		_aSilva, Lu�is M.A. _eauthor.
700	1		_aSantos, Jorge M.F. _eauthor.
700	1		_aAlexandre, Lu�is A. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642290282
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v420
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-29029-9
912			_aZDB-2-ENG
942			_cEBK
999			_c58364 _d58364