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» Solving Constraints in Model Transformations
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IPCO
2004
110views Optimization» more  IPCO 2004»
14 years 10 months ago
Scheduling an Industrial Production Facility
Managing an industrial production facility requires carefully allocating limited resources, and gives rise to large, potentially complicated scheduling problems. In this paper we c...
Eyjolfur Asgeirsson, Jonathan W. Berry, Cynthia A....
NIPS
2004
14 years 10 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
NIPS
1998
14 years 10 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
MP
2006
138views more  MP 2006»
14 years 9 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...
CORR
2010
Springer
201views Education» more  CORR 2010»
14 years 6 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant