Sparse Learning Under Regularization Framework

by Michael R. Lyu, Irwin King, Haiqin Yang

Regularization is a dominant theme in machine learning and statistics due to its prominent ability in providing an intuitive and principled tool for learning from high-dimensional data. As large-scale... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 3844330305
• ISBN13: 9783844330304
• Release Date: April 2011
• Publisher: LAP Lambert Academic Publishing
• Length: 152 Pages
• Weight: 0.51 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"