Now showing items 43-45 of 1217

    • 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 ...
    • Sparse Correlation Kernel Analysis and Reconstruction 

      Papgeorgiou, Constantine P.; Girosi, Federico; Poggio, Tomaso (1998-05-01)
      This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis ...