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ICALP
1994
Springer
13 years 11 months ago
Liveness in Timed and Untimed Systems
When provingthe correctness of algorithmsin distributed systems, one generally considers safety conditions and liveness conditions. The Input Output I O automaton model and its ti...
Rainer Gawlick, Roberto Segala, Jørgen F. S...
IJAR
2010
91views more  IJAR 2010»
13 years 6 months ago
Inference and risk measurement with the pari-mutuel model
We explore generalizations of the pari-mutuel model (PMM), a formalization of an intuitive way of assessing an upper probability from a precise one. We discuss a naive extension o...
Renato Pelessoni, Paolo Vicig, Marco Zaffalon
CAI
1998
Springer
13 years 7 months ago
Information Retrieval, Imaging and Probabilistic Logic
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
Fabrizio Sebastiani
ENTCS
2007
119views more  ENTCS 2007»
13 years 7 months ago
Interpolant Learning and Reuse in SAT-Based Model Checking
Bounded Model Checking (BMC) is one of the most paradigmatic practical applications of Boolean Satisfiability (SAT). The utilization of SAT in model checking has allowed signifi...
João Marques-Silva
ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu