Sparse Modeling: Theory, Algorithms, and Applications

丛 书 名：Chapman & Hall/CRC Machine Learning & Pattern Recognition

版本说明：1

作     者：Rish, Irina Grabarnik, Genady 

I S B N：(纸本) 9781439828694 

出 版 社：CRC Press 

出 版 年：2014年

页      数：250页

主 题 词：Computer Science 

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal *** Modeling: Theory, Algorithms, and Applications provides an introduction t