Computer-assisted prescription of erythropoiesis-stimulating agents in patients undergoing maintenance hemodialysis: a randomized control trial for artificial intelligence model selection. [PDF]
JAMIA OpenLim LM +6 more
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Correction for Taeb et al., Model selection over partially ordered sets. [PDF]
Proc Natl Acad Sci U S Aeuropepmc +1 more source
Enhancing infectious disease prediction model selection with multi-objective optimization: an empirical study. [PDF]
PeerJ Comput SciXu D, Chan WH, Haron H.
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Optimizer's dilemma: optimization strongly influences model selection in transcriptomic prediction. [PDF]
Bioinform AdvCrawford J, Chikina M, Greene CS.
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Fast Model Selection and Hyperparameter Tuning for Generative Models. [PDF]
Entropy (Basel)Chen L, Ghosh SK.
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Optimizing Machine Learning Models for Accessible Early Cognitive Impairment Prediction: A Novel Cost-effective Model Selection Algorithm. [PDF]
IEEE AccessShubar AG, Ramakrishnan K, Ho CK.
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Bayesian Vancomycin Model Selection for Therapeutic Drug Monitoring in Neonates. [PDF]
Clin PharmacokinetAlrahahleh D +8 more
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Optimising experimental designs for model selection of ion channel drug binding mechanisms
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Abstract The chapter “Model Selection” provides a brief overview of alternative ways of thinking about what is (are) the best model(s) and shows the core motivation behind the Akaike information criterion as a measure of the predictive ability of a model fitted via maximum likelihood.
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