2884 search results - page 165 / 577 » Evaluating learning algorithms and classifiers |
151
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ECML
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
158
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IPMI
2001
Springer
16 years 7 months ago
2001
Springer
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
142
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ML
2006
ACM
15 years 6 months ago
2006
ACM
Abstract XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining ...
194
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
157
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SIGMOD
2010
ACM
15 years 11 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...