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137
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
118
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
131
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ICML
1998
IEEE
16 years 5 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
261
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ICDT
2009
ACM
16 years 5 months ago
2009
ACM
A technique called user views has recently been proposed to focus user attention on relevant information in response to provenance queries over workflow executions [1, 2]: Given u...
129
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WWW
2009
ACM
16 years 5 months ago
2009
ACM
Traditional information systems return answers after a user submits a complete query. Users often feel "left in the dark" when they have limited knowledge about the unde...