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» On Iterative Regularization and Its Application
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LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 3 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
TOG
2008
239views more  TOG 2008»
13 years 9 months ago
Skeleton extraction by mesh contraction
eleton is a very useful 1D structure to abstract the geometry and topology of a 3D object. Extraction of curve-skeletons is a fundamental problem in computer graphics, visualizatio...
Oscar Kin-Chung Au, Chiew-Lan Tai, Hung-Kuo Chu, D...
CVPR
2009
IEEE
15 years 4 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
RTSS
2007
IEEE
14 years 4 months ago
ANDES: An ANalysis-Based DEsign Tool for Wireless Sensor Networks
— We have developed an analysis-based design tool, ANDES, for modeling a wireless sensor network system and analyzing its performance before deployment. ANDES enables designers t...
Vibha Prasad, Ting Yan, Praveen Jayachandran, Zeng...
IPCO
2010
125views Optimization» more  IPCO 2010»
13 years 11 months ago
A Pumping Algorithm for Ergodic Stochastic Mean Payoff Games with Perfect Information
Abstract. We consider two-person zero-sum stochastic mean payoff games with perfect information, or BWR-games, given by a digraph G = (V = VB VW VR, E), with local rewards r : E R...
Endre Boros, Khaled M. Elbassioni, Vladimir Gurvic...