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» Characterising Probabilistic Processes Logically
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HIS
2004
13 years 8 months ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Yuan Yan Chen, Joseph J. Chen
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
13 years 5 months ago
A probabilistic approach for control of a stochastic system from LTL specifications
We consider the problem of controlling a continuous-time linear stochastic system from a specification given as a Linear Temporal Logic (LTL) formula over a set of linear predicate...
Morteza Lahijanian, Sean B. Andersson, Calin Belta
CONCUR
2003
Springer
14 years 17 days ago
Full Abstraction for HOPLA
traction for HOPLA Mikkel Nygaard1 and Glynn Winskel2 1 BRICS , University of Aarhus 2 Computer Laboratory, University of Cambridge A fully abstract denotational semantics for the ...
Mikkel Nygaard, Glynn Winskel
MICRO
2006
IEEE
159views Hardware» more  MICRO 2006»
13 years 7 months ago
MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits
Shrinking devices to the nanoscale, increasing integration densities, and reducing of voltage levels down to the thermal limit, all conspire to produce faulty systems. Frequent oc...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...
QEST
2005
IEEE
14 years 27 days ago
iLTLChecker: A Probabilistic Model Checker for Multiple DTMCs
iLTL is a probabilistic temporal logic that can specify properties of multiple discrete time Markov chains (DTMCs). In this paper, we describe two related tools: MarkovEstimator a...
YoungMin Kwon, Gul A. Agha