000			03175nam a22005175i 4500
001			u373656
003			SIRSI
005			20160812084156.0
007			cr nn 008mamaa
008			100301s2010 gw | s |||| 0|eng d
020			_a9783642045332 _9978-3-642-04533-2
040			_cMX-MeUAM
050		4	_aTA329-348
050		4	_aTA640-643
082	0	4	_a519 _223
100	1		_aSilva, Catarina. _eauthor.
245	1	0	_aInductive Inference for Large Scale Text Classification _h[recurso electrónico] : _bKernel Approaches and Techniques / _cby Catarina Silva, Bernardete Ribeiro.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXX, 155 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 ; _v255
505	0		_aFundamentals -- Background on Text Classification -- Kernel Machines for Text Classification -- Approaches and techniques -- Enhancing SVMs for Text Classification -- Scaling RVMs for Text Classification -- Distributing Text Classification in Grid Environments -- Framework for Text Classification.
520			_aText classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aText processing (Computer science.
650		0	_aComputational linguistics.
650		0	_aEngineering mathematics.
650	1	4	_aEngineering.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aDocument Preparation and Text Processing.
650	2	4	_aComputational Linguistics.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aRibeiro, Bernardete. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642045325
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v255
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-04533-2
596			_a19
942			_cLIBRO_ELEC
999			_c201536 _d201536