How Good Is Crude MDL for Solving the Bias-Variance Dilemma? An Empirical Investigation Based on Bayesian Networks-Reference-Cited by-同舟云学术

How Good Is Crude MDL for Solving the Bias-Variance Dilemma? An Empirical Investigation Based on Bayesian Networks

Published:2014-03-26 Issue:3 Volume:9 Page:e92866
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

Cruz-Ramírez Nicandro,Acosta-Mesa Héctor Gabriel,Mezura-Montes Efrén,Guerra-Hernández Alejandro,Hoyos-Rivera Guillermo de Jesús,Barrientos-Martínez Rocío Erandi,Gutiérrez-Fragoso Karina,Nava-Fernández Luis Alonso,González-Gaspar Patricia,Novoa-del-Toro Elva María,Aguilera-Rueda Vicente Josué,Ameca-Alducin María Yaneli

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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4. An experimental and theoretical comparison of model selection methods;M Kearns;Mach Learn 27,1997

5. The importance of complexity in model selection;IJ Myung;J Math Psychol 44,2000

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