Linear Regression is a machine learning algorithm based on supervised learning. It is used to predict the value of a variable based on the value of another variable. The variable you want to predict ...

Abstract: Sparse models for high-dimensional linear ... regression setting in which a graph governs both correlations among the covariates and the similarity among regression coefficients. This graph ...

Our study shows, with the property of Laplacian eigenmaps for classification problems, that utilizing the Laplacian eigenmaps as a regularizer in the original loss function can further enhance the ...