AI Memos (1959 - 2004): Recent submissions

Now showing items 40-42 of 1217

    • A Unified Framework for Regularization Networks and Support Vector Machines 

      Evgeniou, Theodoros; Pontil, Massimiliano; Poggio, Tomaso (1999-03-01)
      Regularization Networks and Support Vector Machines are techniques for solving certain problems of learning from examples -- in particular the regression problem of approximating a multivariate function from sparse ...

    • 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 ...