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142
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PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
15 years 5 months ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...
105
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CSDA
2007
116views more  CSDA 2007»
15 years 1 months ago
Exploring the state sequence space for hidden Markov and semi-Markov chains
The knowledge of the state sequences that explain a given observed sequence for a known hidden Markovian model is the basis of various methods that may be divided into three categ...
Yann Guédon
101
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SIGSOFT
2007
ACM
16 years 1 months ago
State space exploration using feedback constraint generation and Monte-Carlo sampling
The systematic exploration of the space of all the behaviours of a software system forms the basis of numerous approaches to verification. However, existing approaches face many c...
Sriram Sankaranarayanan, Richard M. Chang, Guofei ...
107
Voted
KBSE
2009
IEEE
15 years 7 months ago
A Framework for State-Space Exploration of Java-Based Actor Programs
—The actor programming model offers a promising model for developing reliable parallel and distributed code. Actors provide flexibility and scalability: local execution may be i...
Steven Lauterburg, Mirco Dotta, Darko Marinov, Gul...
96
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DIAGRAMS
2008
Springer
15 years 2 months ago
Enhancing State-Space Tree Diagrams for Collaborative Problem Solving
State-space search methods in problem solving have often been illustrated using tree diagrams. We explore a set of issues related to coordination in collaborative problem solving a...
Steven L. Tanimoto