2208 search results - page 58 / 442 » Privacy-Preserving Classifier Learning |
107
Voted
AUSAI
2006
Springer
15 years 6 months ago
2006
Springer
Attribute subsetting is a meta-classification technique, based on learning multiple base-level classifiers on projections of the training data. In prior work with nearest-neighbour...
116
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CIKM
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we present a novel strategy, DragPushing, for improving the performance of text classifiers. The strategy is generic and takes advantage of training errors to succes...
140
Voted
ICML
2000
IEEE
16 years 3 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...
111
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
102
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AAAI
1994
15 years 3 months ago
1994
Two standard schemes for learning in classifier systems have been proposed in the literature: the bucket brigade algorithm (BBA) and the profit sharing plan (PSP). The BBA is a lo...