NIPS Proceedingsβ

Vladimir Vapnik

13 Papers

  • On the Theory of Learnining with Privileged Information (2010)
  • Parallel Support Vector Machines: The Cascade SVM (2004)
  • Kernel Dependency Estimation (2002)
  • A Support Vector Method for Clustering (2000)
  • Feature Selection for SVMs (2000)
  • Vicinal Risk Minimization (2000)
  • Model Selection for Support Vector Machines (1999)
  • Support Vector Method for Multivariate Density Estimation (1999)
  • Transductive Inference for Estimating Values of Functions (1999)
  • Prior Knowledge in Support Vector Kernels (1997)
  • Support Vector Method for Function Approximation, Regression Estimation and Signal Processing (1996)
  • Support Vector Regression Machines (1996)
  • Learning Curves: Asymptotic Values and Rate of Convergence (1993)