Browsing CSAIL Technical Reports (July 1, 2003 - present) by Subject "kernel methods"

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    • Generalization and Properties of the Neural Response 

      Bouvrie, Jake; Poggio, Tomaso; Rosasco, Lorenzo; Smale, Steve; Wibisono, Andre (2010-11-19)
      Hierarchical learning algorithms have enjoyed tremendous growth in recent years, with many new algorithms being proposed and applied to a wide range of applications. However, despite the apparent success of hierarchical ...

    • Kernels for Vector-Valued Functions: a Review 

      Alvarez, Mauricio A.; Rosasco, Lorenzo; Lawrence, Neil D. (2011-06-30)
      Kernel methods are among the most popular techniques in machine learning. From a frequentist/discriminative perspective they play a central role in regularization theory as they provide a natural choice for the hypotheses ...

    • A Note on Perturbation Results for Learning Empirical Operators 

      De Vito, Ernesto; Belkin, Mikhail; Rosasco, Lorenzo (2008-08-19)
      A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eigenfunctions of operators defined by a ...