Maximum Likelihood Learning of Conditional MTE Distributions

Authors:
Helge Langseth;Thomas D. Nielsen;Rafael Rumí;Antonio Salmerón
Affiliations:
Department of Computer and Information Science, The Norwegian University of Science and Technology, Norway;Department of Computer Science, Aalborg University, Denmark;Department of Statistics and Applied Mathematics, University of Almería, Spain;Department of Statistics and Applied Mathematics, University of Almería, Spain
Venue:
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2009

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Abstract

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.