Now showing items 337-339 of 1835

    • Multivariate Density Estimation: An SVM Approach 

      Mukherjee, Sayan; Vapnik, Vladimir (1999-04-01)
      We formulate density estimation as an inverse operator problem. We then use convergence results of empirical distribution functions to true distribution functions to develop an algorithm for multivariate density estimation. ...
    • On the Noise Model of Support Vector Machine Regression 

      Pontil, Massimiliano; Mukherjee, Sayan; Girosi, Federico (1998-10-01)
      Support Vector Machines Regression (SVMR) is a regression technique which has been recently introduced by V. Vapnik and his collaborators (Vapnik, 1995; Vapnik, Golowich and Smola, 1996). In SVMR the goodness of fit ...
    • From Regression to Classification in Support Vector Machines 

      Pontil, Massimiliano; Rifkin, Ryan; Evgeniou, Theodoros (1998-11-01)
      We study the relation between support vector machines (SVMs) for regression (SVMR) and SVM for classification (SVMC). We show that for a given SVMC solution there exists a SVMR solution which is equivalent for a certain ...