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PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
13 years 10 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...
CSDA
2007
116views more  CSDA 2007»
13 years 5 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
SIGSOFT
2007
ACM
14 years 6 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 ...
KBSE
2009
IEEE
14 years 10 days 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...
DIAGRAMS
2008
Springer
13 years 7 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