Large Scale Online Kernel Learning

Abstract

In this paper, we present a new framework for large scale online kernel learning, making kernel methods efficient and scalable for large-scale online learning applications. Unlike the regular budget online kernel learning scheme that usually uses some budget maintenance strategies to bound the number of support vectors, our framework explores a completely… (More)

Topics

15 Figures and Tables

Statistics

05020162017
Citations per Year

Citation Velocity: 31

Averaging 31 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.

Slides referencing similar topics