JSTOR Daily

Sequential Lasso Cum EBIC for Feature Selection With Ultra-High Dimensional Feature Space

In this article, we propose a method called sequential Lasso (SLasso) for feature selection in sparse high-dimensional linear models. The SLasso selects features by sequentially solving partially ...
European Medical Journal

Machine Learning Predicts ICU Readmission After Stroke

A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...
InfoWorld

Machine learning: Demystifying linear regression and feature selection

Businesspeople need to demand more from machine learning so they can connect data scientists’ work to relevant action. This requires basic machine learning literacy — what kinds of problems can ...
JSTOR Daily

Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 72, No. 1 (Jan., 2010), pp. 3-25 (23 pages) Partial least squares regression has been an alternative to ordinary ...