Abstract
Ensemble learning of K simple perceptrons, which determine their outputs by sign functions, is discussed within the framework of online learning and statistical mechanics. Hebbian, perceptron and AdaTron learning show different characteristics in their affinity for ensemble learning, that is maintaining variety among students. Results show that AdaTron learning is superior to the other two rules.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.