2518 search results - page 218 / 504 » Machine learning in sedimentation modelling |
171
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
167
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
165
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
142
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ALT
2009
Springer
16 years 3 months ago
2009
Springer
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
219
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ICMLC
2010
Springer
15 years 4 months ago
2010
Springer
- This paper presents a learning approach using cerebellar model articulation controller (CMAC) to accommodate faults for a class of multivariable nonlinear systems. A CMAC is prop...