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ECSQARU
2009
Springer

Maximum Likelihood Learning of Conditional MTE Distributions

10 years 2 months ago
Maximum Likelihood Learning of Conditional MTE Distributions
We describe a procedure for inducing conditional densities within the mixtures of truncated exponentials (MTE) framework. We analyse possible conditional MTE specifications and propose a model selection scheme, based on the BIC score, for partitioning the domain of the conditioning variables. Finally, experimental results demonstrate the applicability of the learning procedure as well as the expressive power of the conditional MTE distribution.
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ECSQARU
Authors Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
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