791 search results - page 105 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by b...
ALT
2003
Springer
14 years 5 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...