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UAI
2004
14 years 11 months ago
Case-Factor Diagrams for Structured Probabilistic Modeling
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...
CORR
2010
Springer
154views Education» more  CORR 2010»
14 years 10 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
IJDMB
2008
128views more  IJDMB 2008»
14 years 9 months ago
Protein homology detection with biologically inspired features and interpretable statistical models
: Computational classification of proteins using methods such as string kernels and Fisher-SVM has demonstrated great success. However, the resulting models do not offer an immedia...
Pai-Hsi Huang, Vladimir Pavlovic
ALIFE
2004
14 years 9 months ago
Using Avida to Test the Effects of Natural Selection on Phylogenetic Reconstruction Methods
Phylogenetic trees group organisms by their ancestral relationships. There are a number of distinct algorithms used to reconstruct these trees from molecular sequence data, but dif...
George I. Hagstrom, Dehua H. Hang, Charles Ofria, ...
JOCN
2010
126views more  JOCN 2010»
14 years 4 months ago
A Multimodal Neural Network Recruited by Expertise with Musical Notation
Prior neuroimaging work on visual perceptual expertise has focused on changes in the visual system, ignoring possible effects of acquiring expert visual skills in nonvisual areas....
Yetta Kwailing Wong, Isabel Gauthier