2100 search results - page 287 / 420 » Learning to rank on graphs |
150
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WSDM
2010
ACM
16 years 4 months ago
2010
ACM
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
167
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ICDM
2005
IEEE
16 years 5 days ago
2005
IEEE
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
196
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COLT
2005
Springer
16 years 3 days ago
2005
Springer
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
190
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ICDM
2003
IEEE
15 years 12 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
188
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ICADL
2010
Springer
15 years 11 months ago
2010
Springer
Maintaining and extending large thesauri is an important challenge facing digital libraries and IT businesses alike. In this paper we describe a method building on and extending ex...