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» On the Proof Complexity of Deep Inference
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UAI
2003
13 years 6 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
ENTCS
2007
129views more  ENTCS 2007»
13 years 5 months ago
Protocol Composition Logic (PCL)
Protocol Composition Logic (PCL) is a logic for proving security properties of network protocols that use public and symmetric key cryptography. The logic is designed around a pro...
Anupam Datta, Ante Derek, John C. Mitchell, Arnab ...
ICALP
2007
Springer
13 years 11 months ago
Universal Algebra and Hardness Results for Constraint Satisfaction Problems
We present algebraic conditions on constraint languages Γ that ensure the hardness of the constraint satisfaction problem CSP(Γ) for complexity classes L, NL, P, NP and ModpL. Th...
Benoit Larose, Pascal Tesson
TABLEAUX
2005
Springer
13 years 10 months ago
A Tableau-Based Explainer for DL Subsumption
This paper describes the implementation of a tableau-based reasoning component which is capable of providing quasi natural language explanations for subsumptions within ALEHFR+ TBo...
Thorsten Liebig, Michael Halfmann
POPL
1999
ACM
13 years 9 months ago
Typed Memory Management in a Calculus of Capabilities
An increasing number of systems rely on programming language technology to ensure safety and security of low-level code. Unfortunately, these systems typically rely on a complex, ...
Karl Crary, David Walker, J. Gregory Morrisett