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» Computational Complexity of Probabilistic Disambiguation
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IWINAC
2007
Springer
15 years 6 months ago
EDNA: Estimation of Dependency Networks Algorithm
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
José A. Gámez, Juan L. Mateo, Jose M...
SSPR
2004
Springer
15 years 5 months ago
Learning People Movement Model from Multiple Cameras for Behaviour Recognition
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. We...
RECOMB
2010
Springer
15 years 6 months ago
Genomic DNA k-mer Spectra: Models and Modalities
Background: The empirical frequencies of DNA k-mers in whole genome sequences provide an interesting perspective on genomic complexity, and the availability of large segments of g...
Benny Chor, David Horn, Nick Goldman, Yaron Levy, ...
ICML
2009
IEEE
16 years 18 days ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
ICASSP
2008
IEEE
15 years 6 months ago
Modeling regulatory sites with higher order position-dependent weight matrices
Identification of regulatory signals in DNA depends on the nature and quality of the patterns of representative sequences. These patterns are constructed from training sets of se...
Hossein Zare, Mostafa Kaveh, Arkady B. Khodursky