1 code implementation • 11 Nov 2015 • David Lopez-Paz, Léon Bottou, Bernhard Schölkopf, Vladimir Vapnik
Distillation (Hinton et al., 2015) and privileged information (Vapnik & Izmailov, 2015) are two techniques that enable machines to learn from other machines.
no code implementations • 3 Jun 2013 • Vladimir Vapnik, Igor Braga, Rauf Izmailov
We introduce a general constructive setting of the density ratio estimation problem as a solution of a (multidimensional) integral equation.
no code implementations • NeurIPS 2010 • Dmitry Pechyony, Vladimir Vapnik
In Learning Using Privileged Information (LUPI) paradigm, along with the standard training data in the decision space, a teacher supplies a learner with the privileged information in the correcting space.
1 code implementation • JMLR 2001 • Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
We present a novel clustering method using the approach of support vector machines.
1 code implementation • NeurIPS 2000 • Asa Ben-Hur, David Horn, Hava Siegelmann, Vladimir Vapnik
Data points enclosed by each contour are defined as a cluster.