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ESANN
2007
14 years 11 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
ATAL
2010
Springer
14 years 11 months ago
2010
Springer
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
BMCBI
2008
14 years 10 months ago
2008
Background: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading fra...
BMCBI
2007
14 years 10 months ago
2007
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
EOR
2006
14 years 10 months ago
2006
This paper proposes a stochastic dynamic programming model for a short-term capacity planning model for air cargo space. The long-term cargo space is usually acquired by freight fo...