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KDD
2010
ACM
282views Data Mining» more  KDD 2010»
13 years 11 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
ATAL
2010
Springer
13 years 8 months ago
The multi variable multi constrained distributed constraint optimization framework
Service coordination in domains involving temporal constraints and duration uncertainty has previously been solved with a greedy algorithm that attempts to satisfy service requests...
Christopher Portway, Edmund H. Durfee
CVPR
2010
IEEE
13 years 10 months ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
GECCO
2005
Springer
170views Optimization» more  GECCO 2005»
14 years 28 days ago
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information
A new approach based on Estimation Distribution Algorithms for constrained multiobjective shape optimization is proposed in this article. Pareto dominance and feasibility rules ar...
Sergio Ivvan Valdez Peña, Salvador Botello ...
DAGM
2010
Springer
13 years 8 months ago
Geometrically Constrained Level Set Tracking for Automotive Applications
We propose a new approach for integrating geometric scene knowledge into a level-set tracking framework. Our approach is based on a novel constrained-homography transformation mode...
Esther Horbert, Dennis Mitzel, Bastian Leibe