CBCL Memos (1993 - 2004): Recent submissions

Now showing items 31-33 of 123

    • 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 ...

    • Estimating Dependency Structure as a Hidden Variable 

      Meila, Marina; Jordan, Michael I.; Morris, Quaid (1998-09-01)
      This paper introduces a probability model, the mixture of trees that can account for sparse, dynamically changing dependence relationships. We present a family of efficient algorithms that use EM and the Minimum Spanning ...