000			03207nam a22005295i 4500
001			978-3-540-79452-3
003			DE-He213
005			20161121230719.0
007			cr nn 008mamaa
008			100301s2008 gw | s |||| 0|eng d
020			_a9783540794523 _9978-3-540-79452-3
024	7		_a10.1007/978-3-540-79452-3 _2doi
050		4	_aQ337.5
050		4	_aTK7882.P3
072		7	_aUYQP _2bicssc
072		7	_aCOM016000 _2bisacsh
082	0	4	_a006.4 _223
100	1		_aHuang, Kaizhu. _eauthor.
245	1	0	_aMachine Learning _h[electronic resource] : _bModeling Data Locally and Globally / _cby Kaizhu Huang, Haiqin Yang, Irwin King, Michael Lyu.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_aX, 169 p. 53 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aAdvanced Topics in Science and Technology in China, _x1995-6819
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.
650		0	_aComputer science.
650		0	_aData mining.
650		0	_aInformation storage and retrieval.
650		0	_aPattern recognition.
650	1	4	_aComputer Science.
650	2	4	_aPattern Recognition.
650	2	4	_aInformation Storage and Retrieval.
650	2	4	_aData Mining and Knowledge Discovery.
700	1		_aYang, Haiqin. _eauthor.
700	1		_aKing, Irwin. _eauthor.
700	1		_aLyu, Michael. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540794516
830		0	_aAdvanced Topics in Science and Technology in China, _x1995-6819
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-79452-3
912			_aZDB-2-SCS
950			_aComputer Science (Springer-11645)
999			_c502894 _d502894