130 search results - page 8 / 26 » Diversified SVM Ensembles for Large Data Sets |
189
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NIPS
2001
15 years 7 months ago
2001
The support vector machine (SVM) is known for its good performance in binary classification, but its extension to multi-class classification is still an on-going research issue. I...
180
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
150
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NIPS
2004
15 years 7 months ago
2004
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
150
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CIKM
2009
Springer
16 years 18 days ago
2009
Springer
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
170
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...