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» Combining Classifiers based on Confidence Values
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NIPS
2004
13 years 9 months ago
Confidence Intervals for the Area Under the ROC Curve
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
Corinna Cortes, Mehryar Mohri
ICPR
2002
IEEE
14 years 8 months ago
The Combining Classifier: To Train or Not to Train?
When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Se...
Robert P. W. Duin
CIA
2008
Springer
13 years 9 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
HPCA
2004
IEEE
14 years 8 months ago
Perceptron-Based Branch Confidence Estimation
Pipeline gating has been proposed for reducing wasted speculative execution due to branch mispredictions. As processors become deeper or wider, pipeline gating becomes more import...
Haitham Akkary, Srikanth T. Srinivasan, Rajendar K...
ICIP
2004
IEEE
14 years 9 months ago
Detection of unique people in news programs using multimodal shot clustering
In this paper we describe an approach that uses a combination of visual and audio features to cluster shots belonging to the same person together in video programs. We use color h...
Alberto Albiol, Cüneyt M. Taskiran, Edward J....