Transfer estimation of evolving class priors in data stream classification

DOI10.1016/j.patcog.2010.03.021zbMath1207.68334OpenAlexW2045741237MaRDI QIDQ1957879

Jie Zhou, Zhihao Zhang

Publication date: 27 September 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.03.021

zbMATH Keywords

concept drifttransfer learningprior estimation

Mathematics Subject Classification ID

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

Related Items (4)

Drift mining in data: a framework for addressing drift in classification ⋮ Adapting a classification rule to local and global shift when only unlabelled data are available ⋮ Stock data clustering and multiscale trend detection ⋮ A survey on concept drift adaptation

Uses Software

• PRMLT

Cites Work

• Direct importance estimation for covariate shift adaptation
• Non-stationary data sequence classification using online class priors estimation
• Improving predictive inference under covariate shift by weighting the log-likelihood function
• Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure
• Divergence measures based on the Shannon entropy
• Transductive Methods for the Distributed Ensemble Classification Problem
• Asymptotically efficient estimation of prior probabilities in multiclass finite mixtures
• Recursive estimation of prior probabilities using a mixture
• Mathematical Statistics
• Stable Transductive Learning
• Estimation of Dependences Based on Empirical Data
• On the Estimation of Mixing Distributions
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