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» Learning for stochastic dynamic programming
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ICIP
2005
IEEE
16 years 3 months ago
Curve segmentation using directional information, relation to pattern detection
We propose an extension of the conformal (or geodesic) active contour framework in which the conformal factor depends not only on the position of the curve but also on the directi...
Eric Pichon, Allen Tannenbaum
JBI
2006
107views Bioinformatics» more  JBI 2006»
15 years 1 months ago
KDE Bioscience: Platform for bioinformatics analysis workflows
Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the...
Qiang Lu, Pei Hao, Vasa Curcin, Wei-Zhong He, Yuan...
ATAL
2008
Springer
15 years 3 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
EOR
2006
199views more  EOR 2006»
15 years 1 months ago
Short-term booking of air cargo space
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...
Ek Peng Chew, Huei Chuen Huang, Ellis L. Johnson, ...
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
15 years 3 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli