2884 search results - page 20 / 577 » Evaluating learning algorithms and classifiers |
152
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ALT
2010
Springer
15 years 5 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
126
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ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
133
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ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
124
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
128
Voted
COLT
2006
Springer
15 years 7 months ago
2006
Springer
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...