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188
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 3 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
141
Voted
COLING
2010
14 years 11 months ago
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...
ICIP
2006
IEEE
16 years 5 months ago
An adaptive mixture color model for robust visual tracking
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
Antoine Lehuger, Patrick Léchat, Patrick P&...
ESANN
2000
15 years 5 months ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Piero A. Gili, Manuela Battipede
BMCBI
2004
121views more  BMCBI 2004»
15 years 4 months ago
Asynchronous adaptive time step in quantitative cellular automata modeling
Background: The behaviors of cells in metazoans are context dependent, thus large-scale multicellular modeling is often necessary, for which cellular automata are natural candidat...
Hao Zhu, Peter Y. H. Pang, Yan Sun, Pawan Dhar