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Active learning algorithm using the maximum weighted log-likelihood estimator · Study

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ArticleActive learning algorithm using the maximum weighted log-likelihood estimator

Takafumi Kanamori2003

Article2003

Active learning algorithm using the maximum weighted log-likelihood estimator

Takafumi Kanamori · Hidetoshi Shimodaira

45 citations·0/0 files stored·Journal of Statistical Planning and Inference

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Optimal Experimental Design Methods Advanced Statistical Methods and Models Gaussian Processes and Bayesian Inference

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References

1972Theory of optimal experiments 1972Theory of Optimal Experiments.1980Optimal Design 1975A Survey of Statistical Design and Linear Models 1992Minimax designs for approximately linear regression 1979Robustness of Design Against Autocorrelation in Time I: Asymptotic Theory, Optimality for Location and Linear Regression

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1984Experimental Design: Review and Commentarticle · 4 shared references 1989Recent Advances in Nonlinear Experimental Designarticle · 4 shared references 1993Nonlinear Experiments: Optimal Design and Inference Based on Likelihoodarticle · 4 shared references 2002Robust sequential designs for nonlinear regressionarticle · 4 shared references 1992The Use of a Canonical Form in the Construction of Locally Optimal Designs for Non-Linear Problemsarticle · 3 shared references 2006A Comparison of Criteria to Design Efficient Choice Experimentsarticle · 3 shared references

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Year2003

Typearticle

Published2003-01-10

VenueJournal of Statistical Planning and Inference

ISSN-L0378-3758

Languageen

Citations45

Files0 public / 0

ShelfOptimal Experimental Design Methods

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doi10.1016/s0378-3758(02)00234-3

openalex_workW1963661053

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