1023 search results - page 4 / 205 » Graph model selection using maximum likelihood |
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
IJAR
2010
13 years 6 months ago
2010
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
JMLR
2010
13 years 2 months ago
2010
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
ICPR
2010
IEEE
14 years 13 days ago
2010
IEEE
—We present solutions to two problems that prevent the effective use of population-based algorithms in clustering problems. The first solution presents a new representation for ...