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NIPS
1998
13 years 11 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
IJCAI
1989
13 years 11 months ago
Functional Representation of Designs and Redesign Problem Solving
gn problem can be abstractly characterized as a constrained function-to-structure mapping. The de­ sign task takes as input the specifications of the desired functions of a device...
Ashok K. Goel, B. Chandrasekaran
BMCBI
2008
129views more  BMCBI 2008»
13 years 10 months ago
An analytic and systematic framework for estimating metabolic flux ratios from 13C tracer experiments
Background: Metabolic fluxes provide invaluable insight on the integrated response of a cell to environmental stimuli or genetic modifications. Current computational methods for e...
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Za...
MP
2006
138views more  MP 2006»
13 years 10 months ago
A new ILP-based refinement heuristic for Vehicle Routing Problems
In the paper we address the Distance-Constrained Capacitated Vehicle Routing Problem (DCVRP), where k minimum-cost routes through a central depot have to be constructed so as to co...
Roberto De Franceschi, Matteo Fischetti, Paolo Tot...
WD
2010
13 years 8 months ago
Coexistence of radio networks using Aloha
: In this paper we use an analytical model to study how two radio networks : a primary network and a secondary network can coexist within the same area. We use a very simple protoc...
Bartlomiej Blaszczyszyn, Paul Mühlethaler, Sk...