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» On Learning Boolean Functions
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ICMLA
2010
14 years 7 months ago
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrai...
CORR
2006
Springer
108views Education» more  CORR 2006»
14 years 9 months ago
Static Analysis using Parameterised Boolean Equation Systems
The well-known problem of state space explosion in model checking is even more critical when applying this technique to programming languages, mainly due to the presence of complex...
María-del-Mar Gallardo, Christophe Joubert,...
SAS
2004
Springer
140views Formal Methods» more  SAS 2004»
15 years 3 months ago
Path-Sensitive Analysis for Linear Arithmetic and Uninterpreted Functions
We describe data structures and algorithms for performing a path-sensitive program analysis to discover equivalences of expressions involving linear arithmetic or uninterpreted fun...
Sumit Gulwani, George C. Necula
ICML
2007
IEEE
15 years 10 months ago
Tracking value function dynamics to improve reinforcement learning with piecewise linear function approximation
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
Chee Wee Phua, Robert Fitch
TSP
2008
134views more  TSP 2008»
14 years 9 months ago
Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention
Abstract--The dynamics of a rule-based gene regulatory network are determined by the regulatory functions in conjunction with whatever probability distributions are involved in net...
Xiaoning Qian, Edward R. Dougherty