1863 search results - page 233 / 373 » A supervised learning approach for imbalanced data sets |
185
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IVC
2007
15 years 6 months ago
2007
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
213
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WWW
2011
ACM
15 years 1 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
166
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
171
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ATAL
2009
Springer
16 years 1 months ago
2009
Springer
Sensor nodes are often used to collect data from locations inaccessible or hazardous for humans. As they are not under normal supervision, these nodes are particularly susceptible...
186
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DIS
2007
Springer
16 years 18 days ago
2007
Springer
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a reprodu...