Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) - Tapa dura

Libro 27 de 54: Chapman & Hall/CRC Data Mining and Knowledge Discovery

Deng, Naiyang; Tian, Yingjie; Zhang, Chunhua

 
9781439857922: Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Sinopsis

Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment of the two main components of SVMs-classification problems and regression problems. The authors emphasize the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. They construct SVMs for semi-supervised, knowledge-based, and robust classification problems. They also cover SVMs for Universum, privileged, multi-class, multi-instance, and multi-label classification problems.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Naiyang Deng, Yingjie Tian, Chunhua Zhang

"Sobre este título" puede pertenecer a otra edición de este libro.