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ICALP
2010
Springer
15 years 2 months ago
Compositional Closure for Bayes Risk in Probabilistic Noninterference
We give a quantitative sequential model for noninterference security with probability (but not demonic choice), and a novel refinement order that we prove to be the greatest compo...
Annabelle McIver, Larissa Meinicke, Carroll Morgan
ICTAC
2009
Springer
15 years 4 months ago
The Secret Art of Computer Programming
“Classical” program development by refinement [12, 2, 3] is a technique for ensuring that source-level program code remains faithful to the semantic goals set out in its corre...
Annabelle McIver
ETAI
2000
84views more  ETAI 2000»
14 years 10 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
MP
2007
95views more  MP 2007»
14 years 9 months ago
Smoothed analysis of integer programming
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
Heiko Röglin, Berthold Vöcking
ILP
2005
Springer
15 years 3 months ago
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment
We propose a new approach to Inductive Logic Programming that systematically exploits caching and offers a number of advantages over current systems. It avoids redundant computati...
Héctor Corrada Bravo, David Page, Raghu Ram...