Results 141 to 150 of about 1,512 (160)
Some of the next articles are maybe not open access.
Learning Methods in Reproducing Kernel Hilbert Space Based on High-dimensional Features
2016The first topic focuses on the dimension reduction method via the regularization. We propose the selection for principle components via LASSO. This method assumes that some unknown latent variables are related to the response under the highly correlate covariate structure.
openaire +1 more source
Contrastive Multi-View Kernel Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Jiyuan Liu, Xinwang Liu, Yuanqing Xia
exaly
Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering
IEEE Transactions on Neural Networks and Learning Systems, 2021Zhenwen Ren, Quansen Sun
exaly
Variable selection in reproducing kernel Hilbert space using random sketch method
Journal of the Korean Data And Information Science Society, 2020Jongkyeong Kang, Myoungshic Jhun
openaire +1 more source
A New Method of Predicting US and State-Level Cancer Mortality Counts for the Current Calendar Year
Ca-A Cancer Journal for Clinicians, 2004Ahmedin Jemal Dvm, Eric J Feuer
exaly
Error analysis of reproducing kernel Hilbert space method for solving functional integral equations
Journal of Computational and Applied Mathematics, 2016Esmail Babolian
exaly