964 search results - page 91 / 193 » Incremental and Decremental Support Vector Machine Learning |
107
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NIPS
2004
15 years 2 months ago
2004
We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...
154
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BMCBI
2011
14 years 5 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
105
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TKDE
2008
15 years 1 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...
105
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ICPR
2008
IEEE
15 years 8 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...
114
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CORR
2008
Springer
15 years 1 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...