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» An ASM-Characterization of a Class of Distributed Algorithms
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CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 2 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
MATA
2001
Springer
15 years 2 months ago
Multipoint-to-Point Routing with QoS Guarantees Using Mobile Agents
To overcome the shortcomings of existing IP networks and to facilitate the overall quality-of-service (QoS) provisioning in the near-future networks, new technologies such as Multi...
Sergio González-Valenzuela, Victor C. M. Le...
CVPR
1997
IEEE
15 years 2 months ago
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation
Grouping based on common motion, or “common fate” provides a powerful cue for segmenting image sequences. Recently a number of algorithms have been developed that successfully...
Yair Weiss
ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
15 years 1 months ago
Softening Splits in Decision Trees Using Simulated Annealing
Predictions computed by a classification tree are usually constant on axis-parallel hyperrectangles corresponding to the leaves and have strict jumps on their boundaries. The densi...
Jakub Dvorák, Petr Savický
EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 1 months ago
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...
Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourd...