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008			160816s2016 gw | s |||| 0|eng d
020			_a9783319410630
040			_aES-MaUEC _bspa
050		4	_aQ325.5 _b.M87 2016 EB
082	0	4	_a006.4
100	1		_aMurty, M. Narasimha _0Local _1http://viaf.org/viaf/111001223 _999777
245	1	0	_aSupport Vector Machines and Perceptrons : _bLearning, Optimization, Classification, and Application to Social Networks _cby MN Murty, Rashmi Raghava
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIII, 95 páginas) _b25 ilustraciones
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringerBriefs in Computer Science _x2191-5768
505	0		_aIntroduction -- Linear Discriminant Function -- Perceptron -- Linear Support Vector Machines -- Kernel Based SVM -- Application to Social Networks -- Conclusion.
520			_aThis work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>.
650		7	_aAlgoritmos _2embne _9141162
700	1		_aRaghava, Rashmi. _999778 _0Local _1http://viaf.org/viaf/2149542839500302226
710	2		_aSpringerLink (Online service) _0Local _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/148105729 _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-41063-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319410630
907			_a.b12954974 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aEBOOK EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i1161514x _z30-06-17
988	0	0	_aEBOOK, EBSPRINGER, GOBI_sep2018
988			_aEbook_one2one
998			_aSI _a_alco _a_vill _b10/2018 _cm _dz _ek _feng _ggw _h0
999			_c86219 _d86219 _x1