5463 search results - page 465 / 1093 » Evaluating algorithms that learn from data streams |
155
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CAS
2007
15 years 6 months ago
2007
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
223
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AAAI
2012
13 years 9 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
181
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ICMLA
2004
15 years 8 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
179
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ICDM
2002
IEEE
15 years 11 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
217
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SIGCOMM
1999
ACM
15 years 11 months ago
1999
ACM
This paper presents a novel framework for managing network congestion from an end-to-end perspective. Our work is motivated by several trends in traffic patterns that threaten th...