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» Regularization Methods for Additive Models
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103
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ICML
2007
IEEE
16 years 3 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
100
Voted
DAGM
2007
Springer
15 years 8 months ago
A Duality Based Approach for Realtime TV-L1 Optical Flow
Variational methods are among the most successful approaches to calculate the optical flow between two image frames. A particularly appealing formulation is based on total variati...
Christopher Zach, Thomas Pock, Horst Bischof
145
Voted
ECML
2005
Springer
15 years 8 months ago
Natural Actor-Critic
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
Jan Peters, Sethu Vijayakumar, Stefan Schaal
146
Voted
CAGD
2008
99views more  CAGD 2008»
15 years 2 months ago
Topology and arrangement computation of semi-algebraic planar curves
We describe a new subdivision method to efficiently compute the topology and the arrangement of implicit planar curves. We emphasize that the output topology and arrangement are g...
Lionel Alberti, Bernard Mourrain, Julien Wintz
TCS
2008
15 years 2 months ago
Extending FeatherTrait Java with Interfaces
In the context of Featherweight Java by Igarashi, Pierce, and Wadler, and its recent extension FeatherTrait Java (FTJ) by the authors, we investigate classes that can be extended ...
Luigi Liquori, Arnaud Spiwack