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ICALP
2010
Springer
15 years 7 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 9 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
121
Voted
ETAI
2000
84views more  ETAI 2000»
15 years 2 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»
15 years 2 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
129
Voted
ILP
2005
Springer
15 years 8 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...