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IJFCS
2006
110views more  IJFCS 2006»
14 years 10 months ago
Sat-based Model Checking for Region Automata
For successful software verification, model checkers must be capable of handling a large number of program variables. Traditional, BDD-based model checking is deficient in this re...
Fang Yu, Bow-Yaw Wang
TIP
2008
133views more  TIP 2008»
14 years 9 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
GEOS
2007
Springer
15 years 4 months ago
Modeling Spatio-temporal Network Computations: A Summary of Results
Spatio-temporal network is defined by a set of nodes, and a set of edges, where the properties of nodes and edges may vary over time. Such networks are encountered in a variety of...
Betsy George, Shashi Shekhar
INFORMS
1998
142views more  INFORMS 1998»
14 years 9 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
CORR
2010
Springer
168views Education» more  CORR 2010»
14 years 8 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva