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» Algorithms for Index-Assisted Selectivity Estimation
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TIP
2008
185views more  TIP 2008»
15 years 17 hour ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
104
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JAIR
2010
131views more  JAIR 2010»
14 years 11 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
TIP
2011
124views more  TIP 2011»
14 years 7 months ago
A Geometric Method for Optimal Design of Color Filter Arrays
—A color filter array (CFA) used in a digital camera is a mosaic of spectrally selective filters, which allows only one color component to be sensed at each pixel. The missing ...
Pengwei Hao, Yan Li, Zhouchen Lin, Eric Dubois
CEC
2011
IEEE
14 years 16 days ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
PE
2010
Springer
170views Optimization» more  PE 2010»
14 years 11 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale