Now showing items 280-282 of 807

    • An Efficient Learning Procedure for Deep Boltzmann Machines 

      Salakhutdinov, Ruslan; Hinton, Geoffrey (2010-08-04)
      We present a new learning algorithm for Boltzmann Machines that contain many layers of hidden variables. Data-dependent statistics are estimated using a variational approximation that tends to focus on a single mode, and ...
    • MAC Design for Analog Network Coding 

      Khabbazian, Majid; Kuhn, Fabian; Lynch, Nancy; Medard, Muriel; ParandehGheibi, Ali (2010-08-02)
      Most medium access control mechanisms discard collided packets and consider interference harmful. Recent work on Analog Network Coding (ANC) suggests a different approach, in which multiple interfering transmissions are ...
    • Learning and Invariance in a Family of Hierarchical Kernels 

      Wibisono, Andre; Bouvrie, Jake; Rosasco, Lorenzo; Poggio, Tomaso (2010-07-30)
      Understanding invariance and discrimination properties of hierarchical models is arguably the key to understanding how and why such models, of which the the mammalian visual system is one instance, can lead to good ...