5463 search results - page 264 / 1093 » Evaluating algorithms that learn from data streams |
220
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
164
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
172
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CEC
2007
IEEE
16 years 25 days ago
2007
IEEE
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
177
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SDM
2010
SIAM
15 years 8 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
175
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SIGMOD
2005
ACM
16 years 6 months ago
2005
ACM
We consider the problem of joining data streams using limited cache memory, with the goal of producing as many result tuples as possible from the cache. Many cache replacement heu...