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UAI
2003
13 years 10 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
IJAR
2006
98views more  IJAR 2006»
13 years 8 months ago
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
Barry R. Cobb, Prakash P. Shenoy
CSCLP
2006
Springer
14 years 12 days ago
Complexity of a CHR Solver for Existentially Quantified Conjunctions of Equations over Trees
Abstract. Constraint Handling Rules (CHR) is a concurrent, committed-choice, rule-based language. One of the first CHR programs is the classic constraint solver for syntactic equal...
Marc Meister, Khalil Djelloul, Thom W. Frühwi...
CORR
2010
Springer
58views Education» more  CORR 2010»
13 years 8 months ago
Verifying Recursive Active Documents with Positive Data Tree Rewriting
This paper considers a tree-rewriting framework for modeling documents evolving through service calls. We focus on the automatic verification of properties of documents that may c...
Blaise Genest, Anca Muscholl, Zhilin Wu
ESANN
2007
13 years 10 months ago
Visualisation of tree-structured data through generative probabilistic modelling
We present a generative probabilistic model for the topographic mapping of tree structured data. The model is formulated as constrained mixture of hidden Markov tree models. A nat...
Nikolaos Gianniotis, Peter Tino