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» Approximating Component Selection
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107
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AAAI
2008
15 years 4 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
118
Voted
ESANN
2003
15 years 3 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
116
Voted
ICASSP
2010
IEEE
15 years 2 months ago
Multiple Selection Approximation for improved spatio-temporal prediction in video coding
In this contribution, a novel spatio-temporal prediction algorithm for video coding is introduced. This algorithm exploits temporal as well as spatial redundancies for effectively...
Jürgen Seiler, André Kaup
58
Voted
CORR
2008
Springer
44views Education» more  CORR 2008»
15 years 2 months ago
An Improved Approximation Algorithm for the Column Subset Selection Problem
Christos Boutsidis, Michael W. Mahoney, Petros Dri...
DEDS
2006
59views more  DEDS 2006»
15 years 2 months ago
Approximating the Minimal Sensor Selection for Supervisory Control
Kurt Rohloff, Samir Khuller, Guy Kortsarz