The Maximum Cosine Framework for Deriving Perceptron Based Linear Classifiers

DOI10.1007/978-3-319-46379-7_14zbMath1483.68280arXiv1707.00821OpenAlexW2523711649MaRDI QIDQ2830277

Nader H. Bshouty, Catherine A. Haddad-Zaknoon

Publication date: 9 November 2016

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1707.00821

zbMATH Keywords

online learningperceptronlinear classifiers

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Online algorithms; streaming algorithms (68W27)

Cites Work

• Unnamed Item
• 10.1162/15324430260185600
• Online Learning with Kernels
• The relaxed online maximum margin algorithm

This page was built for publication: The Maximum Cosine Framework for Deriving Perceptron Based Linear Classifiers