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Support function
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661	Similarity-Based Theoretical Foundation for Sparse Parzen Window Prediction Maria-Florina Balcan Avrim Blum Computer Science Department, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-05-06 20:35:46 Statistical classification Machine learning Operator theory Learning Support vector machine Hinge loss Relevance vector machine Hilbert space Function Statistics Mathematics Artificial intelligence
662	A Theory of Learning with Similarity Functions⋆ Maria-Florina Balcan1 , Avrim Blum1 , and Nathan Srebro2 1 Computer Science Department, Carnegie Mellon University {ninamf,avrim}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-08-01 19:46:50 Linear algebra Hilbert space Function Support vector machine Positive-definite kernel Sheaf Logarithm Vector space Orbifold Mathematics Algebra Operator theory
663	Improved Guarantees for Learning via Similarity Functions Maria-Florina Balcan Avrim Blum Computer Science Department, Carnegie Mellon University {ninamf,avrim}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-05-13 17:43:56 Generalized functions Statistical theory Decision theory Econometrics Loss function Function Sheaf Supervised learning Support vector machine Mathematics Mathematical analysis Statistics
664	User Support System for Daimler AG “Daimler’s new Global Buying System GLOBUS has now an effective web-based help function and user support. We have chosen instinctools’ innovative GateOne solution because of it s Add to Reading List Source URL: www.instinctools.com Language: English* - Date: 2012-09-12 10:43:27 Single source publishing Information Technology Economy of Germany Aabar Investments Technical communication Daimler AG
665	The improved fast Gauss transform with applications to machine learning Vikas C. Raykar and Ramani Duraiswami Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2006-10-16 11:26:39 Gaussian function Multivariate statistics Signal processing Statistical classification Kernel density estimation Kernel principal component analysis Support vector machine Kernel methods Kernel Statistics Machine learning Non-parametric statistics
666	Supervised learning for computer vision: Theory and algorithms - Part I Francis Bach1 & Jean-Yves Audibert2,1 Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2008-10-11 18:22:01 Supervised learning Empirical risk minimization Support vector machine PP Statistical classification Function Pattern recognition Linear classifier Statistics Machine learning Mathematics
667	On a Theory of Learning with Similarity Functions Maria-Florina Balcan Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-07-13 19:45:46 Support vector machine Function Perceptron Sheaf Positive-definite kernel Kernel Mathematics Exponentials Gaussian function
668	A Theory of Learning with Similarity Functions⋆ Maria-Florina Balcan1 , Avrim Blum1 , and Nathan Srebro2 1 Add to Reading List Source URL: www.cc.gatech.edu Language: English - Date: 2009-07-13 19:45:43 Linear algebra Hilbert space Function Support vector machine Positive-definite kernel Sheaf Logarithm Vector space Orbifold Mathematics Algebra Operator theory
669	Vacuously True Everyone agrees that the implication P =⇒ Q is true when P and Q are both true. In mathematics, P =⇒ Q is also declared to be true when P (the hypothesis) is false. Add to Reading List Source URL: www.swarthmore.edu Language: English - Date: 1998-06-04 15:22:17 Mathematical logic Nothing Vacuous truth Veracity Continuous function Support Limit of a function Mathematical analysis Mathematics Logic
670	Section 9: Presentation of the Theory 9. Presentation of the Theory Add to Reading List Source URL: www.math.uakron.edu Language: English - Date: 2002-04-05 21:55:26 Limit of a function Support Limit Calculus Infinity Continuous function Fundamental theorem of calculus Mathematical analysis Mathematics Functions and mappings

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