37 search results - page 2 / 8 » On the Concentration of Expectation and Approximate Inferenc... |
ALT
2004
Springer
14 years 2 months ago
2004
Springer
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
UAI
2003
13 years 6 months ago
2003
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
INFOCOM
2007
IEEE
13 years 11 months ago
2007
IEEE
— We consider an end-to-end approach of inferring network faults that manifest in multiple protocol layers, with an optimization goal of minimizing the expected cost of correctin...
JMLR
2010
12 years 12 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
VTC
2006
IEEE
13 years 11 months ago
2006
IEEE
— We consider the application of spatial multiplexing to ad hoc networks where nodes have multiple antennas. At the physical level, we suppose that layered space–time multiuser...