Active learning algorithm using the maximum weighted log-likelihood estimator

DOI10.1016/S0378-3758(02)00234-3zbMath1020.62065MaRDI QIDQ1400127

Takafumi Kanamori, Hidetoshi Shimodaira

Publication date: 13 August 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

integrated mean square erroractive learningoptimal experimental designmaximum weighted log-likelihood estimator

Mathematics Subject Classification ID

Related Items (11)

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Cites Work

• Minimax designs for approximately linear regression
• Linear estimation for approximately linear models
• Robustness of design against autocorrelation in time I: Asymptotic theory, optimality for location and linear regression
• Improving predictive inference under covariate shift by weighting the log-likelihood function
• Statistical asymptotic theory of active learning
• Minimax Robust Designs and Weights for Approximately Specified Regression Models with Heteroscedastic Errors
• Maximum Likelihood Estimation of Misspecified Models
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