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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 8 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 7 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...
131
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CVPR
1997
IEEE
15 years 7 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 7 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
150
Voted
EMO
2006
Springer
219views Optimization» more  EMO 2006»
15 years 7 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...