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» PRL: A probabilistic relational language
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FUIN
2008
108views more  FUIN 2008»
14 years 11 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
AIIA
2007
Springer
15 years 6 months ago
A Top Down Interpreter for LPAD and CP-Logic
Logic Programs with Annotated Disjunctions and CP-logic are two different but related languages for expressing probabilistic information in logic programming. The paper presents a...
Fabrizio Riguzzi
AIPS
2009
15 years 1 months ago
Exploiting N-Gram Analysis to Predict Operator Sequences
N-gram analysis provides a means of probabilistically predicting the next item in a sequence. Due originally to Shannon, it has proven an effective technique for word prediction i...
Christian J. Muise, Sheila A. McIlraith, Jorge A. ...
ACL
2006
15 years 1 months ago
Exact Decoding for Jointly Labeling and Chunking Sequences
There are two decoding algorithms essential to the area of natural language processing. One is the Viterbi algorithm for linear-chain models, such as HMMs or CRFs. The other is th...
Nobuyuki Shimizu, Andrew R. Haas
LICS
2010
IEEE
14 years 10 months ago
A Generic Operational Metatheory for Algebraic Effects
—We provide a syntactic analysis of contextual preorder and equivalence for a polymorphic programming language with effects. Our approach applies uniformly across a range of alge...
Patricia Johann, Alex Simpson, Janis Voigtlän...