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» On the Proof Complexity of Deep Inference
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UAI
2003
13 years 10 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 8 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
14 years 2 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
14 years 2 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
14 years 26 days 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