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» Approximating Component Selection

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AAAI
2008

207views Intelligent Agents» more AAAI 2008»

Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation

15 years 15 hour ago

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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...

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ESANN
2003

156views Neural Networks» more ESANN 2003»

Fast approximation of the bootstrap for model selection

14 years 11 months ago

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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...

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ICASSP
2010
IEEE

158views Signal Processing» more ICASSP 2010»

Multiple Selection Approximation for improved spatio-temporal prediction in video coding

14 years 10 months ago

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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

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CORR
2008
Springer

44views Education» more CORR 2008»

An Improved Approximation Algorithm for the Column Subset Selection Problem

14 years 9 months ago