Discover New Methods for Dealing with High-Dimensional Data
A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.
Top experts in this rapidly evolving field, the authors describe the lasso for linear regression and a simple coordinate descent algorithm for its computation....
Discover New Methods for Dealing with High-Dimensional Data
A sparse statistical model has only a small number of nonzero p...
A compendium of interesting or arcane details and statistics, as well as history, customs and lore, this is an unabashed celebration of the English village, as well as a record of an often vanished world.
A compendium of interesting or arcane details and statistics, as well as history, customs and lore, this is an unabashed celebration of the English vi...
