'Reproducing kernel hilbert space' presentation slideshows

On-Line Kernel Learning

1.05k views • 79 slides

Basis Expansions and Regularization Continued From Elements of Statistical Learning

Basis Expansions and Regularization Continued From Elements of Statistical Learning. (CH. 5 Part 2) Speaker: Brian Quanz ( bquanz@ittc.ku.edu ) 7/3/2008. Overview. Nonparametric Logistic Regression Multidimensional Splines Regularization and Reproducing Kernel Hilbert Spaces

753 views • 42 slides

LMS Algorithm in a Reproducing Kernel Hilbert Space

LMS Algorithm in a Reproducing Kernel Hilbert Space. Weifeng Liu, P. P. Pokharel, J. C. Principe Computational NeuroEngineering Laboratory, University of Florida Acknowledgment: This work was partially supported by NSF grant ECS-0300340 and ECS-0601271. Outlines. Introduction

550 views • 37 slides

LMS Algorithm in a Reproducing Kernel Hilbert Space

LMS Algorithm in a Reproducing Kernel Hilbert Space. Weifeng Liu, P. P. Pokharel, J. C. Principe Computational NeuroEngineering Laboratory, University of Florida Acknowledgment: This work was partially supported by NSF grant ECS-0300340 and ECS-0601271. Outlines. Introduction

377 views • 37 slides

Domain Transfer SVM for Video Concept Detection

Lixin Duan Ivor W. Tsang Dong Xu Nanyang Technological University. Stephen J. Maybank University of London. Kernel function based on multiple base kernels : SVM decision function: is any monotonic increasing function and is a tradeoff parameter.

194 views • 1 slides