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020			_a9780262026253
040			_aclsautm _cclsautm
082			_a005.73 _bL322
245	0	0	_aLarge-scale kernel machines / _cEdited by Léon Bottou ... [et al.]
260			_aCambridge, MA : _bMIT Press, _c2007.
300			_axii, 396 p.
500			_aIncludes bibliographical references and index.
504			_aReferences: p. [361]-387.
505			_aSupport vector machine solvers (Léon Bottou, Chih-Jen Lin) -- Training a support vector machine in the primal (Olivier Chapelle) -- Fast kernel learning with sparse inverted index (Patrick Haffner, Stephan Kanthak) -- Large-scale learning with string kernels (Sören Sonnenburg, Gunnar Rätsch, Konrad Rieck) -- Large-scale parallel SVM implementation (Igor Durdanovic, Eric Cosatto, Hans-Peter Graf) -- A distributed sequential solver for large-scale SVMs (Elad Yom-Tov) -- Newton methods for fast semisupervised linear SVMs (Vikas Sindhwani, S. Sathiya Keerthi) -- The improved fast Gauss transform with applications to machine learning (Vikas Chandrakant Raykar, Ramani Duraiswami) -- Approximation methods for gaussian process regression (Joaquin Quiñonero-Candela, Carl Edward Rasmussen) -- Brisk kernel independent component analysis (Stefanie Jegelka, Arthur Gretton) -- Building SVMs with reduced classifer complexity (S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste) -- Trading convexity for scalability (Ronan Collobert, Fabian Sinz, Jasson Weston, Léon Bottou) -- Training invariant SVMs using selective sampling (Gaëlle Loosli, Léon Bottou, Stéphane Canu) -- Scaling learning algorithms toward AI (Yoshua Bengio, Yann LeCun).
650		0	_aESTRUCTURAS DE DATOS (COMPUTACION) _910454
650		0	_aAPRENDIZAJE AUTOMATICO _982914
700	1		_aBottou, Léon _eeditor _995418
700	1		_aChapelle, Olivier _eeditor _995476
700	1		_aDeCoste, Dennis _eeditor _995477
700	1		_aWeston, Jason _995478
904			_aRosana
907			_aClaudia
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999			_c39650 _d39650