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» The Complexity of Probabilistic EL
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170
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ILP
2007
Springer
15 years 9 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
127
Voted
ICALP
2005
Springer
15 years 9 months ago
Probabilistic Polynomial-Time Semantics for a Protocol Security Logic
Abstract. We describe a cryptographically sound formal logic for proving protocol security properties without explicitly reasoning about probability, asymptotic complexity, or the ...
Anupam Datta, Ante Derek, John C. Mitchell, Vitaly...
128
Voted
FMCO
2004
Springer
112views Formal Methods» more  FMCO 2004»
15 years 9 months ago
Probabilistic Linda-Based Coordination Languages
Abstract. Coordination languages are intended to simplify the development of complex software systems by separating the coordination aspects of an application from its computation ...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...
138
Voted
ICLP
2004
Springer
15 years 9 months ago
Possible Worlds Semantics for Probabilistic Logic Programs
Abstract. In this paper we consider a logic programming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic Logi...
Alex Dekhtyar, Michael I. Dekhtyar
124
Voted
BMVC
2000
15 years 5 months ago
Resolving Visual Uncertainty and Occlusion through Probabilistic Reasoning
Tracking interacting human body parts from a single two-dimensional view is difficult due to occlusion, ambiguity and spatio-temporal discontinuities. We present a Bayesian networ...
Jamie Sherrah, Shaogang Gong