Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Miller, Ken D."'
Loopy belief propagation performs approximate inference on graphical models with loops. One might hope to compensate for the approximation by adjusting model parameters. Learning algorithms for this purpose have been explored previously, and the clai
Externí odkaz:
http://arxiv.org/abs/1106.0483
Autor:
Pitkow X; Department of Brain and Cognitive Science, University of Rochester, Rochester, NY 14607., Ahmadian Y; Center for Theoretical Neuroscience, Columbia University, New York, NY 10032., Miller KD; Center for Theoretical Neuroscience, Columbia University, New York, NY 10032.
Publikováno v:
Advances in neural information processing systems [Adv Neural Inf Process Syst] 2011 Dec; Vol. 24, pp. 738-746.
