Online learning with kernels

• 主要作者: Fan, Haijin
• 其他作者: Song Qing
• 格式: Theses and Dissertations
• 語言: English
• 出版: 2014
• 主題: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: https://hdl.handle.net/10356/61869
• 機構: Nanyang Technological University

Kernel methods are popular nonparametric modeling tools in machine learning. The Mercer kernel function is applied to perform transformation of feature vectors from a low dimensional space to a high or even infinite dimensional reproducing kernel Hilbert space (RKHS), where linear solutions can be f...