6篇
您的检索式：作者名="Karsmakers"
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| 1 | Confidence bands for least squares support vector machine classifiers: a regression approach显示文摘 | K de Brabanter KARSMAKERS P J de Brabanter | 2012 | Pattern Recognition2012，，45： | 1 |
| 2 | Confidence bands for least squares support vector machine classifiers:a regression approach显示文摘 | de Brabanter K Karsmakers P de Brabanter J | | 0，，06： | 1 |
| 3 | LS-SVMlab toolbox user’s guide 显示文摘 | De Brabanter K Karsmakers P Ojeda F | 2011 | ESAT-SISTATechnical Report2011，，： | 1 |
| 4 | Confidence bands for least squares support vector machine classifiers: A regression approach 显示文摘 | De Brabanter K Karsmakers P De Brabanter J | 2012 | Pattern Recogni- tion2012，45，6： | 1 |
| 5 | Confidence bands for least squares support vector machine classifiers:A regression approach显示文摘 | de Brabanter K Karsmakers P de Brabanter J | 2012 | Pattern Recognition2012，45，6： | 1 |
| 6 | Constraint-Guided Autoencoders to Enforce a Predefined Threshold on Anomaly Scores:An Application in Machine Condition Monitoring显示文摘Anomaly detection(AD)is an important task in a broad range of domains.A popular choice for AD are Deep Support Vector Data Description models.When learning such models,normal data is mapped close to and anomalous data is mapped far from a center,in some latent space,enabling the construction of a sphere to separate both types of data.Empirically,it was observed:(i)that the center and radius of such sphere largely depend on the training data and model initialization which leads to difficulties when selecting a threshold,and(ii)that the center and radius of this sphere strongly impact the model AD performance on unseen data.In this work,a more robust AD solution is proposed that(i)defines a sphere with a fixed radius and margin in some latent space and(ii)enforces the encoder,which maps the input to a latent space,to encode the normal data in a small sphere and the anomalous data outside a larger sphere,with the same center.Experimental results indicate that the proposed algorithm attains higher performance compared to alternatives,and that the difference in size of the two spheres has a minor impact on the performance. | Maarten Meire Quinten Van Baelen Ted Ooijevaar Peter Karsmakers | 2023 | Journal of Dynamics, Monitoring and Diagnostics2023，2，2： | 0 |
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