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AI
2002
Springer
13 years 4 months ago
On the Role of Contextual Weak Independence in Probabilistic Inference
Previous experimental results have clearly demonstrated the effectiveness of utilizing context-specific independence (CSI) in probabilistic inference. However, CSI is a special cas...
Cory J. Butz, Manon J. Sanscartier
UAI
2008
13 years 6 months ago
Inference for Multiplicative Models
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
Ydo Wexler, Christopher Meek
BMCBI
2005
162views more  BMCBI 2005»
13 years 4 months ago
Accelerated probabilistic inference of RNA structure evolution
Background: Pairwise stochastic context-free grammars (Pair SCFGs) are powerful tools for evolutionary analysis of RNA, including simultaneous RNA sequence alignment and secondary...
Ian Holmes
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 6 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...
NN
2006
Springer
141views Neural Networks» more  NN 2006»
13 years 4 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston