A simple yet efficient algorithm for multiple kernel learning under elastic-net constraints
Year: 2015
Type: preprint
Abstract: This papers introduces an algorithm for the solution of multiple kernel learning (MKL) problems with elastic-net constraints on the kernel weights. The algorithm compares very favourably in terms of time and space complexity to existing approaches and can be implemented with simple code that does not rely on external libraries (except a conventional SVM solver).
Source: arXiv (Cornell University)
Author: Citi, Luca
Language: English
Topic: Machine Learning and ELM
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W850709580