\(\lambda \)-perceptron: an adaptive classifier for data streams

DOI10.1016/J.PATCOG.2010.07.026zbMath1211.68134OpenAlexW2138154997MaRDI QIDQ609177

Niall M. Adams, Dimitris K. Tasoulis, David J. Hand, Nicos G. Pavlidis

Publication date: 30 November 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.07.026

zbMATH Keywords

classificationonline learningforgettingpopulation driftstreaming data

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Data structures (68P05)

Related Items (8)

Divisive clustering of high dimensional data streams ⋮ Concept drift detection and adaptation with hierarchical hypothesis testing ⋮ Energy-based function to evaluate data stream clustering ⋮ Streaming changepoint detection for transition matrices ⋮ Continuous monitoring for changepoints in data streams using adaptive estimation ⋮ Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification ⋮ Multiple changepoint detection in categorical data streams ⋮ Evaluation methods and decision theory for classification of streaming data with temporal dependence

Uses Software

• Forgetron

Cites Work

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• Tracking the best hyperplane with a simple budget perceptron
• Tracking the best expert
• A wide range no-regret theorem
• Empirical evaluation of the improved rprop learning algorithms
• Classifier technology and the illusion of progress
• The Forgetron: A Kernel-Based Perceptron on a Budget
• Learning from Data Streams
• A Second-Order Perceptron Algorithm
• Learning representations by back-propagating errors
• A dynamic scorecard for monitoring baseline performance with application to tracking a mortgage portfolio
• Prediction, Learning, and Games

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