Weighted doubly regularized support vector machine and its application to microarray classification with noise-Reference-Cited by-同舟云学术

Weighted doubly regularized support vector machine and its application to microarray classification with noise

Published:2016-01 Issue: Volume:173 Page:595-605
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Juntao,Wang Yadi,Cao Yimin,Xu Cunshuan

Funder

Natural Science Foundation of China

Key Scientific and Technological Project of Henan Province

Program for Science and Technology Innovation Talents in Universities of Henan Province

Foundation of Henan Educational Committee

Foundation and Advanced Technology Research Program of Henan Province

Henan Higher School Funding Scheme for Young Teachers

Backbone Teachers Program of Henan Normal University, Program for Innovative Research Team (in Science and Technology) in University of Henan Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference28 articles.

1. Molecular classification of cancer;Gloub;Science,1999

2. Gene selection for cancer classification using support vector machines;Guyon;Mach. Learn.,2002

3. Multi-step-ahead time series prediction using multiple-output support vector regression;Bao;Neurocomputing,2014

4. Forecasting intermittent demand by fuzzy support vector machines;Bao;Adv. Appl. Artif. Intell.,2006

5. Performance evaluation of analog circuit using improved LSSVR subject to data information uncertainty;Zhang;Neurocomputing,2015

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature Selection With Maximal Relevance and Minimal Supervised Redundancy;IEEE Transactions on Cybernetics;2023-02

2. Logistic regression with adaptive sparse group lasso penalty and its application in acute leukemia diagnosis;Computers in Biology and Medicine;2022-02

3. Machine Learning for Mass Spectrometry Data Analysis in Proteomics;Current Proteomics;2021-11-23

4. Development of Computer Aided System for Classification of Gastrointestinal Lesions;Lecture Notes in Electrical Engineering;2021-09-25

5. Sensitivity of solidification hydration model in estimating carbonation of fly ash cement system;Construction and Building Materials;2021-05