Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods

Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods.pdf	345.18kB

Type: Paper

Tags:

Metadata:

@article{5:27,author={Giorgio Valentini and Thomas G. Dietterich}, Title={Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods},journal={Journal of Machine Learning Research},volume={5}, url={http://www.jmlr.org/papers/volume5/zhang04a/zhang04a.pdf}}

Citation:

Dietterich, T. G. & Valentini, G.. (2014). Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods [Data set]. Academic Torrents. https://academictorrents.com/details/c741c15c75d92ec8b37cd9b2d3ef157f3acde647

Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods Thomas G. Dietterich and Giorgio Valentini

Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
Thomas G. Dietterich and Giorgio Valentini