How do I turn off SVM?
Answers from top 15 papers
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| Papers (15) | Insight |
|---|---|
20 Citations | Apparently, the performance of SVM-kNN has slighter improvement than that of SVM. |
| ITA-SVM not only keeps an SVM formulation, but also avoids the computation of matrix inversion. | |
24 Citations | The results also demonstrate that the GA-SVM algorithm achieves a better improvement than SVM. |
30 Aug 2011 | This modification allows controlling the trade-off between false-alarm and miss probabilities without modifying the trained OC-SVM that best capture the ambience boundaries, or its hyperparameters. |
25 Jul 2005 33 Citations | Experiments on benchmark data sets show that the generalization performance of the SVM-GR is comparable to the traditional SVM. |
| The proposed classifier combines advantages of the principal component analysis and SVM to improve classification performances of the traditional SVM. | |
01 Jan 2007 | This alternative SVM strategy offers an improvement over standard SVM applications. |
| SVM is sensitive to the kernel choice and if appropriately selected, the performance of SVM can improve. | |
18 Nov 2002 228 Citations | Our modification for L1-SVM achieves comparable performance to L2-SVM. |
01 Dec 2016 24 Citations | The results of experiments show that grid search-based SVM outperforms other optimized SVM approaches with 88.0% accuracy. |
| Our experiments show that CS-SVM outperforms SVM on the standard ODP data set. | |
| The experimental result shows that SVM-PSO acquire high detection rate than regular SVM Method algorithm. | |
| Experimental results show that the performance of the proposed SVM-based method is much better than the basic SVM classifier. | |
| Our results prove that the hybrid GMM-SVM system is significantly more preferment than the SVM system. | |
18 Sep 2006 | For example, none of the FS methods investigated improved SVM accuracy, indicating that the SVM built-in regularization is sufficient. |
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