1863 search results - page 202 / 373 » A supervised learning approach for imbalanced data sets |
192
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KDD
2008
ACM
16 years 6 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
183
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CIKM
2010
Springer
15 years 4 months ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
165
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AIED
2005
Springer
16 years 1 days ago
2005
Springer
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...
180
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AUSAI
2008
Springer
15 years 8 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
168
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KDD
2002
ACM
16 years 6 months ago
2002
ACM
The task of object identification occurs when integrating information from multiple websites. The same data objects can exist in inconsistent text formats across sites, making it ...