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AAAI
2008
13 years 11 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
IFM
2010
Springer
190views Formal Methods» more  IFM 2010»
13 years 7 months ago
On Model Checking Techniques for Randomized Distributed Systems
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...
Christel Baier
QEST
2010
IEEE
13 years 6 months ago
DTMC Model Checking by SCC Reduction
Discrete-Time Markov Chains (DTMCs) are a widely-used formalism to model probabilistic systems. On the one hand, available tools like PRISM or MRMC offer efficient model checking a...
Erika Ábrahám, Nils Jansen, Ralf Wim...
QEST
2008
IEEE
14 years 3 months ago
CaVi -- Simulation and Model Checking for Wireless Sensor Networks
CaVi provides a uniform interface to state-of-the-art simulation methods and formal verification methods for wireless sensor network. Simulation is suitable to examine the behavi...
Athanassios Boulis, Ansgar Fehnker, Matthias Fruth...
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 2 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...