A kernel-based perceptron with dynamic memory

DOI10.1016/j.neunet.2011.07.008zbMath1259.68171OpenAlexW2015812040WikidataQ50995402 ScholiaQ50995402MaRDI QIDQ1943042

Si Wu, Wenwu He

Publication date: 15 March 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2011.07.008

zbMATH Keywords

pattern classificationkernel methodson-line learningperceptron and projection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Sharp learning rates of coefficient-based \(l^q\)-regularized regression with indefinite kernels ⋮ Simple randomized algorithms for online learning with kernels ⋮ Dynamical memory control based on projection technique for online regression

Uses Software

• Forgetron

Cites Work

• Exponentiated gradient versus gradient descent for linear predictors
• Large margin classification using the perceptron algorithm
• Sparse On-Line Gaussian Processes
• 10.1162/15324430260185637
• Limited Stochastic Meta-Descent for Kernel-Based Online Learning
• The Forgetron: A Kernel-Based Perceptron on a Budget
• Tracking the Best Hyperplane with a Simple Budget Perceptron
• Online Learning with Kernels
• The Kernel Recursive Least-Squares Algorithm
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