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IPMI
2007
Springer
16 years 7 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
16 years 25 days ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eļ¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
15 years 11 months ago
Constant generation for the financial domain using grammatical evolution
This study reports the work to date on the analysis of different methodologies for constant creation with the aim of applying the most advantageous method to the dynamic real wor...
Ian Dempsey
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
15 years 11 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
CCE
2008
15 years 6 months ago
Process scheduling under uncertainty: Review and challenges
Uncertainty is a very important concern in production scheduling since it can cause infeasibilities and production disturbances. Thus scheduling under uncertainty has received a l...
Zukui Li, Marianthi G. Ierapetritou