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FUIN
2008
108views more  FUIN 2008»
15 years 3 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
CTRSA
2012
Springer
285views Cryptology» more  CTRSA 2012»
14 years 20 days ago
Plaintext-Checkable Encryption
We study the problem of searching on encrypted data, where the search is performed using a plaintext message or a keyword, rather than a message-specific trapdoor as done by state...
Sébastien Canard, Georg Fuchsbauer, Aline G...
CVPR
2012
IEEE
13 years 7 months ago
A grammar for hierarchical object descriptions in logic programs
Modeling objects using formal grammars has recently regained much attention in computer vision. Probabilistic logic programming, such as Bilattice based Logical Reasoning (BLR), i...
Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Manee...
ACL
2012
13 years 7 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
BIOINFORMATICS
2012
13 years 7 months ago
SSuMMo: rapid analysis, comparison and visualization of microbial communities
Motivation: Next-generation sequencing methods are generating increasingly massive datasets, yet still do not fully capture genetic diversity in the richest environments. To under...
Alex L. B. Leach, James P. J. Chong, Kelly R. Rede...