Vector-valued Reproducing Kernel Banach Spaces with Applications to Multi-task LearningReport as inadecuate



 Vector-valued Reproducing Kernel Banach Spaces with Applications to Multi-task Learning


Vector-valued Reproducing Kernel Banach Spaces with Applications to Multi-task Learning - Download this document for free, or read online. Document in PDF available to download.

Download or read this book online for free in PDF: Vector-valued Reproducing Kernel Banach Spaces with Applications to Multi-task Learning
Motivated by multi-task machine learning with Banach spaces, we propose the notion of vector-valued reproducing kernel Banach spaces RKBS. Basic properties of the spaces and the associated reproducing kernels are investigated. We also present feature map constructions and several concrete examples of vector-valued RKBS. The theory is then applied to multi-task machine learning. Especially, the representer theorem and characterization equations for the minimizer of regularized learning schemes in vector-valued RKBS are established.



Author: Haizhang Zhang; Jun Zhang

Source: https://archive.org/







Related documents