Information science and statistics
Untitled Page 1 Page 2 Information Science and Statistics Series Editors: M. Jordan J.
Kleinberg B. Schölkopf Page 3 Information Science and Statistics For other titles published in …
Kleinberg B. Schölkopf Page 3 Information Science and Statistics For other titles published in …
Fast cross-validation for kernel-based algorithms
Cross-validation (CV) is a widely adopted approach for selecting the optimal model.
However, the computation of empirical cross-validation error (CVE) has high complexity due …
However, the computation of empirical cross-validation error (CVE) has high complexity due …
Fast and efficient strategies for model selection of Gaussian support vector machine
Z Xu, M Dai, D Meng - … on Systems, Man, and Cybernetics, Part …, 2009 - ieeexplore.ieee.org
Two strategies for selecting the kernel parameter (sigma) and the penalty coefficient (C) of
Gaussian support vector machines (SVMs) are suggested in this paper. Based on viewing …
Gaussian support vector machines (SVMs) are suggested in this paper. Based on viewing …
General approximate cross validation for model selection: Supervised, semi-supervised and pairwise learning
B Zhu, Y Liu - Proceedings of the 29th ACM International Conference …, 2021 - dl.acm.org
Cross-validation (CV) is a ubiquitous model-agnostic tool for assessing the error of machine
learning. However, it has high complexity due to the requirement of multiple times of learner …
learning. However, it has high complexity due to the requirement of multiple times of learner …
The influence function of the Stahel–Donoho covariance estimator of smallest outlyingness
In traditional multivariate location and scatter estimation based on the Stahel–Donoho
outlyingness, a weight function is applied, usually calibrated with respect to the multivariate …
outlyingness, a weight function is applied, usually calibrated with respect to the multivariate …
Efficient cross-validation for semi-supervised learning
Manifold regularization, such as laplacian regularized least squares (LapRLS) and laplacian
support vector machine (LapSVM), has been widely used in semi-supervised learning, and …
support vector machine (LapSVM), has been widely used in semi-supervised learning, and …
Reconnaissance multi poses des visages par les machines à vecteurs de supports (SVM)
MA Kouar - 2012 - ccdz.cerist.dz
Résumé Dans notre travail nous nous sommes intéressé au problème de variation de pose
en prenant en considération les autres facteurs comme les lunettes, moustaches, la barbe et …
en prenant en considération les autres facteurs comme les lunettes, moustaches, la barbe et …