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ECML
2007
Springer
16 years 24 days ago
Scale-Space Based Weak Regressors for Boosting
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
Jin Hyeong Park, Chandan K. Reddy
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 23 days ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
16 years 6 days ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
UIST
2005
ACM
16 years 5 days ago
PlayAnywhere: a compact interactive tabletop projection-vision system
We introduce PlayAnywhere, a front-projected computer vision-based interactive table system which uses a new commercially available projection technology to obtain a compact, self...
Andrew D. Wilson
WAOA
2005
Springer
152views Algorithms» more  WAOA 2005»
16 years 2 days ago
Symmetry in Network Congestion Games: Pure Equilibria and Anarchy Cost
We study computational and coordination efficiency issues of Nash equilibria in symmetric network congestion games. We first propose a simple and natural greedy method that comput...
Dimitris Fotakis, Spyros C. Kontogiannis, Paul G. ...