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Published in:
2009 | OriginalPaper | Chapter
Maximum Likelihood Learning of Conditional MTE Distributions
Authors : Helge Langseth, Thomas D. Nielsen, Rafael Rumí, Antonio Salmerón
Published in: Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Publisher: Springer Berlin Heidelberg
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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.