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144
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We introduce a novel algorithm for decision tree learning in the multi-instance setting as originally defined by Dietterich et al. It differs from existing multi-instance tree lea...
155
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
145
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
144
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
190
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ICALT
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper examines motivations of knowledge workers to contribute expertise to online knowledge repositories that support informal learning, and presents findings from both a sur...