2884 search results - page 56 / 577 » Evaluating learning algorithms and classifiers |
129
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
129
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely af...
163
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
149
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
136
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...