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UAI
2000
15 years 7 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
ESOP
2004
Springer
15 years 12 months ago
Resources, Concurrency, and Local Reasoning (Abstract)
t) Peter W. O’Hearn Queen Mary, University of London In the 1960s Dijkstra suggested that, in order to limit the complexity of potential process interactions, concurrent programs...
Peter W. O'Hearn
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 10 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
JCS
2010
80views more  JCS 2010»
15 years 1 months ago
Constraint differentiation: Search-space reduction for the constraint-based analysis of security protocols
We introduce constraint differentiation, a powerful technique for reducing search when model-checking security protocols using constraint-based methods. Constraint differentiation...
Sebastian Mödersheim, Luca Viganò, Dav...
POPL
2009
ACM
16 years 7 months ago
A calculus of atomic actions
We present a proof calculus and method for the static verification of assertions and procedure specifications in shared-memory concurrent programs. The key idea in our approach is...
Tayfun Elmas, Shaz Qadeer, Serdar Tasiran