2518 search results - page 319 / 504 » Machine learning in sedimentation modelling |
175
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
152
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ACCV
2009
Springer
16 years 1 months ago
2009
Springer
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
175
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COMPSYSTECH
2007
15 years 10 months ago
2007
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
165
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ECML
2003
Springer
15 years 11 months ago
2003
Springer
Determining the semantic role of sentence constituents is a key task in determining sentence meanings lying behind a veneer of variant syntactic expression. We present a model of n...
145
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ECML
2005
Springer
16 years 2 days ago
2005
Springer
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...