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ILP
2007
Springer
14 years 4 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
ICALP
2005
Springer
14 years 3 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...
FMCO
2004
Springer
112views Formal Methods» more  FMCO 2004»
14 years 3 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...
FLAIRS
2001
13 years 11 months ago
Probabilistic Planning for Behavior-Based Robots
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Amin Atrash, Sven Koenig
RTAS
2006
IEEE
14 years 4 months ago
Estimating the Worst-Case Energy Consumption of Embedded Software
The evolution of battery technology is not being able to keep up with the increasing performance demand of mobile embedded systems. Therefore, battery life has become an important...
Ramkumar Jayaseelan, Tulika Mitra, Xianfeng Li