Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection
For the multiclass classification problem of microarray data, a new optimization model named multinomial regression with the elastic net penalty was proposed in this paper. By combining the multinomial likeliyhood loss and the multiclass elastic net penalty, the optimization model was constructed, w...
Saved in:
Main Authors: | Liuyuan Chen, Jie Yang, Juntao Li, Xiaoyu Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/569501 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Taba Binary, Multinomial, and Ordinal Regression Models: New Machine Learning Methods for Classification
by: Mohammad Tabatabai, et al.
Published: (2024-12-01) -
Energy-efficient load balancing in wireless sensor network: An application of multinomial regression analysis
by: Ruwaida M Zuhairy, et al.
Published: (2018-03-01) -
Traffic Collision Severity Modeling Using Multi-Level Multinomial Logistic Regression Model
by: Rushdi Alsaleh, et al.
Published: (2025-01-01) -
Navigating personal recovery: multinomial logistic regression analysis of schizophrenia outcomes in community-dwelling individuals
by: Jintana Yunibhand, et al.
Published: (2024-04-01) -
Group Identification and Variable Selection in Quantile Regression
by: Ali Alkenani, et al.
Published: (2019-01-01)