3185 search results - page 303 / 637 » Data Mining with Graphical Models |
129
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PKDD
2009
Springer
15 years 11 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
119
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ICDM
2008
IEEE
15 years 11 months ago
2008
IEEE
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
125
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PKDD
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. We present an automated tool with a web interface for tracking the prevalence of Influenza-like Illness (ILI) in several regions of the United Kingdom using the contents...
157
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SDM
2012
SIAM
13 years 7 months ago
2012
SIAM
The focus of this paper is on how to select a small sample of examples for labeling that can help us to evaluate many different classification models unknown at the time of sampl...
179
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KDD
2003
ACM
16 years 5 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...