Now showing items 400-402 of 1835

    • The Unsupervised Acquisition of a Lexicon from Continuous Speech 

      Marcken, Carl de (1996-01-18)
      We present an unsupervised learning algorithm that acquires a natural-language lexicon from raw speech. The algorithm is based on the optimal encoding of symbol sequences in an MDL framework, and uses a hierarchical ...
    • Vector-Based Integration of Local and Long-Range Information in Visual Cortex 

      Somers, David C.; Todorov, Emanuel V.; Siapas, Athanassios G.; Sur, Mriganka (1996-01-18)
      Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we propose a new analytic framework for understanding integration within ...
    • Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks 

      Jaakkola, Tommi S.; Saul, Lawrence K.; Jordan, Michael I. (1996-02-09)
      Sigmoid type belief networks, a class of probabilistic neural networks, provide a natural framework for compactly representing probabilistic information in a variety of unsupervised and supervised learning problems. ...