Improving diagnosis accuracy of non-small cell lung carcinoma on noisy data by adaptive group lasso regularized multinomial regression.
Juntao LiFuzhen CaoQinghui GaoKe LiangYong TangPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- noisy data
- group lasso
- regression model
- regression coefficients
- missing data
- variable selection
- high dimensional
- classification accuracy
- data sets
- support vector
- probabilistic model
- input data
- efficient optimization
- model selection
- missing values
- image restoration
- high dimensionality
- text classification
- decision trees
- machine learning