2884 search results - page 49 / 577 » Evaluating learning algorithms and classifiers |
186
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
155
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ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
130
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SDM
2010
SIAM
15 years 5 months ago
2010
SIAM
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
172
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
142
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ICANN
2003
Springer
15 years 9 months ago
2003
Springer
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...