no code implementations • 17 Feb 2016 • Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
Finally, we propose a method based on robust kernel CO and robust kernel CCO, called robust kernel CCA, which is designed for contaminated data and less sensitive to noise than classical kernel CCA.
no code implementations • 1 Jun 2016 • Md. Ashad Alam, Osamu Komori, Yu-Ping Wang
Third, we propose a nonparametric robust KCCU method based on robust kernel CCA, which is designed for contaminated data and less sensitive to noise than classical kernel CCA.
no code implementations • 1 Jun 2016 • Md. Ashad Alam, Yu-Ping Wang
Second, we propose an IF of multiple kernel CCA, which can be applied for more than two datasets.
no code implementations • 15 Sep 2016 • Owen Richfield, Md. Ashad Alam, Vince Calhoun, Yu-Ping Wang
Kernel and Multiple Kernel Canonical Correlation Analysis (CCA) are employed to classify schizophrenic and healthy patients based on their SNPs, DNA Methylation and fMRI data.
no code implementations • 9 May 2017 • Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
Many unsupervised kernel methods rely on the estimation of the kernel covariance operator (kernel CO) or kernel cross-covariance operator (kernel CCO).
no code implementations • 14 Jul 2017 • Md. Ashad Alam, Hui-Yi Lin, Vince Calhoun, Yu-Ping Wang
In this study, we tested the interaction effect of multimodal datasets using a novel method called the kernel method for detecting higher order interactions among biologically relevant mulit-view data.
no code implementations • 5 Sep 2018 • Md. Ashad Alam, Mohammad Shahjama, Md. Ferdush Rahman
Identifying significant subsets of the genes, gene shaving is an essential and challenging issue for biomedical research for a huge number of genes and the complex nature of biological networks,.
no code implementations • 21 Dec 2018 • Md. Siraj-Ud-Doula, Md. Ashad Alam
In our study we conclude that Linear Discriminant Analysis and k-nearest neighbors are the best methods among all other methods
no code implementations • 29 Apr 2020 • Md. Ashad Alam, Chuan Qiu, Hui Shen, Yu-Ping Wang, Hong-Wen Deng
In this paper, we propose a novel generalized kernel machine approach to identify higher-order composite effects in multi-view biomedical datasets.