Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding
Gaussian Bayes classifiers are widely used in machine learning for various purposes. Its special characteristic has provided a great capacity for estimating the likelihood and reliability of individual classification decision made, which has been used in many areas such as decision support assessmen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2018-11-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.29-11-2018.155885 |
| _version_ | 1811259123176570880 |
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| author | Dongxu Han Hongbo Du Sabah Jassim |
| author_facet | Dongxu Han Hongbo Du Sabah Jassim |
| author_sort | Dongxu Han |
| collection | DOAJ |
| description | Gaussian Bayes classifiers are widely used in machine learning for various purposes. Its special characteristic has provided a great capacity for estimating the likelihood and reliability of individual classification decision made, which has been used in many areas such as decision support assessments and risk analysis. However, Gaussian Bayes models tend to perform poorly when processing feature vectors of high dimensionality. This limitation is often resolved using dimension reduction techniques such as Principal Component Analysis. Conventional approaches on reducing dimensionalities usually rely on using a simple threshold based on accuracy measurements or sampling characteristics but rarely consider the sensitivity aspect of the prediction model created. In this paper, we have investigated the influence of eigenvalue selections on Gaussian Bayes classifiers in the context of sensitivity adjustment. Experiments based on real-life data have shown indicative and intriguing results. |
| first_indexed | 2024-04-12T18:25:43Z |
| format | Article |
| id | doaj.art-d363289982d944479d708e6d09fd1818 |
| institution | Directory Open Access Journal |
| issn | 2410-0218 |
| language | English |
| last_indexed | 2024-04-12T18:25:43Z |
| publishDate | 2018-11-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| spelling | doaj.art-d363289982d944479d708e6d09fd18182022-12-22T03:21:14ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182018-11-0151610.4108/eai.29-11-2018.155885Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue ThresholdingDongxu Han0Hongbo Du1Sabah Jassim2School of Computing, the University of Buckingham, Buckingham, UK School of Computing, the University of Buckingham, Buckingham, UK School of Computing, the University of Buckingham, Buckingham, UK Gaussian Bayes classifiers are widely used in machine learning for various purposes. Its special characteristic has provided a great capacity for estimating the likelihood and reliability of individual classification decision made, which has been used in many areas such as decision support assessments and risk analysis. However, Gaussian Bayes models tend to perform poorly when processing feature vectors of high dimensionality. This limitation is often resolved using dimension reduction techniques such as Principal Component Analysis. Conventional approaches on reducing dimensionalities usually rely on using a simple threshold based on accuracy measurements or sampling characteristics but rarely consider the sensitivity aspect of the prediction model created. In this paper, we have investigated the influence of eigenvalue selections on Gaussian Bayes classifiers in the context of sensitivity adjustment. Experiments based on real-life data have shown indicative and intriguing results.https://eudl.eu/pdf/10.4108/eai.29-11-2018.155885gaussian bayes classifierdecision support systempcaeigenvalue |
| spellingShingle | Dongxu Han Hongbo Du Sabah Jassim Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding EAI Endorsed Transactions on Industrial Networks and Intelligent Systems gaussian bayes classifier decision support system pca eigenvalue |
| title | Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding |
| title_full | Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding |
| title_fullStr | Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding |
| title_full_unstemmed | Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding |
| title_short | Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding |
| title_sort | controlling sensitivity of gaussian bayes predictions based on eigenvalue thresholding |
| topic | gaussian bayes classifier decision support system pca eigenvalue |
| url | https://eudl.eu/pdf/10.4108/eai.29-11-2018.155885 |
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