373 search results - page 15 / 75 » An ACO Algorithm for the Most Probable Explanation Problem |
JMLR
2010
13 years 1 months ago
2010
Discovering the dependencies among the variables of a domain from examples is an important problem in optimization. Many methods have been proposed for this purpose, but few large...
BMCBI
2006
13 years 7 months ago
2006
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
FUN
2010
Springer
13 years 12 months ago
2010
Springer
Abstract. A man walks into a men’s room and observes n empty urinals. Which urinal should he pick so as to maximize his chances of maintaining privacy, i.e., minimize the chance ...
FOCS
2005
IEEE
14 years 21 days ago
2005
IEEE
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
DAGSTUHL
2007
13 years 8 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...