1989 search results - page 281 / 398 » Learning to Select Useful Landmarks |
157
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JMLR
2002
15 years 5 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
202
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
257
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TCBB
2011
15 years 1 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
169
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ECTEL
2009
Springer
15 years 4 months ago
2009
Springer
This paper focuses on the production of authoring tools that teachers may use to prototype interactive geographical web applications. We present some computational models and a too...
172
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...