剧情简介：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 des...(展开全部)
作者：Trevor Hastie
出版社：Chapman and Hall / CRC
ISBN：9781498712163
