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001			298790
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008			150903s2008 gw | o |||| 0|eng d
020			_a9783540794523 _99783540794523
024	7		_a10.1007/9783540794523 _2doi
035			_avtls000351870
039		9	_a201509030450 _bVLOAD _c201405060257 _dVLOAD _y201402171147 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQ337.5
100	1		_aHuang, Kaizhu. _eautor _9335359
245	1	0	_aMachine Learning : _bModeling Data Locally and Globally / _cby Kaizhu Huang, Haiqin Yang, Irwin King, Michael Lyu.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aAdvanced Topics in Science and Technology in China, _x1995-6819
500			_aSpringer eBooks
505	0		_aGlobal Learning vs. Local Learning -- A General Global Learning Model: MEMPM -- Learning Locally and Globally: Maxi-Min Margin Machine -- Extension I: BMPM for Imbalanced Learning -- Extension II: A Regression Model from M4 -- Extension III: Variational Margin Settings within Local Data in Support Vector Regression -- Conclusion and Future Work.
520			_aMachine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either "local learning"or "global learning."This theory not only connects previous machine learning methods, or serves as roadmap in various models, but – more importantly – it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications. Kaizhu Huang was a researcher at the Fujitsu Research and Development Center and is currently a research fellow in the Chinese University of Hong Kong. Haiqin Yang leads the image processing group at HiSilicon Technologies. Irwin King and Michael R. Lyu are professors at the Computer Science and Engineering department of the Chinese University of Hong Kong.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aYang, Haiqin. _eautor _9335360
700	1		_aKing, Irwin. _eautor _9305918
700	1		_aLyu, Michael. _eautor _9335361
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783540794516
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-79452-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c298790 _d298790