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» An ACO Algorithm for the Most Probable Explanation Problem
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AAAI
2008
13 years 7 months ago
A General Framework for Generating Multivariate Explanations in Bayesian Networks
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
Changhe Yuan, Tsai-Ching Lu
GECCO
2007
Springer
215views Optimization» more  GECCO 2007»
13 years 9 months ago
Finding safety errors with ACO
Model Checking is a well-known and fully automatic technique for checking software properties, usually given as temporal logic formulae on the program variables. Most model checke...
Enrique Alba, J. Francisco Chicano
AUSAI
2004
Springer
13 years 10 months ago
A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem
Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Haipeng Guo, William H. Hsu
BMCBI
2010
123views more  BMCBI 2010»
13 years 5 months ago
Decoding HMMs using the k best paths: algorithms and applications
Background: Traditional algorithms for hidden Markov model decoding seek to maximize either the probability of a state path or the number of positions of a sequence assigned to th...
Daniel G. Brown 0001, Daniil Golod
ICCS
2004
Springer
13 years 10 months ago
On Algorithm for All-Pairs Most Reliable Quickest Paths
Abstract. The reliability problem of the quickest path deals with the transmission of a message of sizeσ from a source to a destination with both the minimum end-to-end delay and ...
Young-Cheol Bang, Inki Hong, Hyunseung Choo