979 search results - page 92 / 196 » Learning with Progressive Transductive Support Vector Machin... |
129
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ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
130
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CORR
2008
Springer
15 years 3 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
124
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TKDE
2008
15 years 3 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
123
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SIGIR
2006
ACM
15 years 9 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
143
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SIGIR
2010
ACM
15 years 7 months ago
2010
ACM
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...