Table of Contents Author Guidelines Submit a Manuscript
Computational and Mathematical Methods in Medicine
Volume 2018, Article ID 7429782, 13 pages
https://doi.org/10.1155/2018/7429782
Research Article

Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer’s Disease

1Computer Science and Engineering, Northeastern University, Shenyang, China
2Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China

Correspondence should be addressed to Peng Cao; nc.ude.uen.esc@gnepoac

Received 4 August 2017; Revised 18 December 2017; Accepted 26 December 2017; Published 24 January 2018

Academic Editor: Peng Li

Copyright © 2018 Xiaoli Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xiaoli Liu, Peng Cao, Jinzhu Yang, and Dazhe Zhao, “Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer’s Disease,” Computational and Mathematical Methods in Medicine, vol. 2018, Article ID 7429782, 13 pages, 2018. https://doi.org/10.1155/2018/7429782.