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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Parikh, D. Tsuhan Chen |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & ComputerEngineering, Carnegie Mellon Univ., Pittsburgh, PA (Parikh, D.; Tsuhan Chen) |
| Abstract | Several classification scenarios employ multiple independently trained classifiers and the outputs of these classifiers need to be combined. However, since each of the trained classifiers exhibit different statistical characteristics, it is not appropriate to combine them using techniques that are blind to these differences. We propose a transform, dtransform, that transforms outputs of classifiers to approximate posterior probabilities, and caters to the statistical behavior of the classifier while doing so. The transformed outputs are now comparable, and can be combined using any of the classical combination rules. We show convincing results that demonstrate the effectiveness of the proposed transform in providing better estimates of the posterior probabilities as compared to standard transformations, as demonstrated by lower KL distance from the true distribution, higher classification accuracies and higher effectiveness of the standard classifier combination rules. |
| Starting Page | 3349 |
| Ending Page | 3352 |
| File Size | 140801 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424414833 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2008.4518368 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Probability Detectors Support vector machines Support vector machine classification Multilayer perceptrons Neural networks Multi-layer neural network Testing Cost function Intrusion detection intrusion detection combining classifiers estimating posterior probabilities dtransform parametric transformation of classifier outputs |
| Content Type | Text |
| Resource Type | Article |
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