1989 search results - page 202 / 398 » Learning to Select Useful Landmarks |
185
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
156
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FLAIRS
2004
15 years 7 months ago
2004
An algorithm is proposed to prune the prototype vectors (prototype selection) used in a nearest neighbor classifier so that a compact classifier can be obtained with similar or ev...
157
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NIPS
1990
15 years 7 months ago
1990
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
251
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PRIB
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
167
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...