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» Regularization and feature selection for networked features
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145
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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 8 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
134
Voted
JMLR
2008
94views more  JMLR 2008»
15 years 3 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
145
Voted
3DPVT
2006
IEEE
160views Visualization» more  3DPVT 2006»
15 years 9 months ago
Geometry Refinement of 3D Surfaces Using Kriging
3D imaging is a popular method for acquiring accurate models for a variety of applications. However, the size of the geometric features that can be modeled in this manner is depen...
Brad Grinstead, Andreas Koschan, Mongi A. Abidi
119
Voted
ATAL
2003
Springer
15 years 9 months ago
Action selection in continuous state and action spaces by cooperation and competition of extended kohonen maps
This paper presents an action selection framework based on an assemblage of self-organizing neural networks called Cooperative Extended Kohonen Maps. This framework encapsulates t...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
106
Voted
ICN
2007
Springer
15 years 9 months ago
Empirical Study on the Evolution of PlanetLab
—PlanetLab is a globally distributed overlay platform that has been increasingly used by researchers to deploy and assess planetary-scale network services. This paper analyzes so...
Li Tang, Yin Chen, Fei Li, Hui Zhang, Jun Li