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AAAI
2008
14 years 8 days ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
JPDC
2006
112views more  JPDC 2006»
13 years 10 months ago
Large scale multiple sequence alignment with simultaneous phylogeny inference
Multiple sequence alignment (MSA) and phylogenetic tree reconstruction are one of the most important problems in the computational biology. While both these problems are of great ...
Gilles Parmentier, Denis Trystram, Jaroslaw Zola
AI
1998
Springer
14 years 2 months ago
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
Yang Xiang
CICLING
2008
Springer
13 years 12 months ago
Natural Language as the Basis for Meaning Representation and Inference
Abstract. Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on logical representatio...
Ido Dagan, Roy Bar-Haim, Idan Szpektor, Iddo Green...
IPPS
2008
IEEE
14 years 4 months ago
Junction tree decomposition for parallel exact inference
We present a junction tree decomposition based algorithm for parallel exact inference. This is a novel parallel exact inference method for evidence propagation in an arbitrary jun...
Yinglong Xia, Viktor K. Prasanna