Randomizing outputs to increase variable selection accuracy.
Chun-Xia ZhangNan-Nan JiGuan-Wei WangPublished in: Neurocomputing (2016)
Keyphrases
- variable selection
- leave one out cross validation
- cross validation
- group lasso
- linear models
- input variables
- model selection
- high dimensional
- stochastic search
- dimension reduction
- high dimensional data
- feature selection
- principal component analysis
- artificial neural networks
- convex optimization
- training data
- machine learning
- data mining