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ENDM
2006
77views more  ENDM 2006»
13 years 9 months ago
A Two-stage Model for a Day-ahead Paratransit Planning Problem
We consider a dynamic planning problem for paratransit transportation. The focus is on a decision to take one day ahead: which requests to serve with own vehicles, and which reque...
Maria L. A. G. Cremers, Willem K. Klein Haneveld, ...
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 4 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
IFIP12
2004
13 years 11 months ago
An Interactive Multicriteria Optimisation Approach to Scheduling
Scheduling problems overall assume that it is possible to identify stable criteria definitions measuring the quality of alternatives. In real world problems however, this does not ...
Martin Josef Geiger, Sanja Petrovic
BMCBI
2006
72views more  BMCBI 2006»
13 years 9 months ago
Selecting effective siRNA sequences by using radial basis function network and decision tree learning
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...
EVOW
2009
Springer
14 years 4 months ago
Dynamic Time-Linkage Problems Revisited
Dynamic time-linkage problems (DTPs) are common types of dynamic optimization problems where "decisions that are made now ... may in‡uence the maximum score that can be obta...
Trung Thanh Nguyen, Xin Yao