Applying MDL to learn best model granularity
type: Item
instance of: scholarly article
title: Applying MDL to learn best model granularity
zbMATH Open document ID: 0948.68092
DOI: 10.1016/S0004-3702(00)00034-5
author: Q. Gao
author: Ming Li
author: Paul M. B. Vitányi
published in: Artificial Intelligence
publication date: 2000-10-26T00:00:00Z
Mathematics Subject Classification ID: 68Q30
zbMATH DE Number: 1521719
zbMATH Keywords: Minimum Description Length principle (MDL)
zbMATH Keywords: Kolmogorov complexity
zbMATH Keywords: universal prior
zbMATH Keywords: Bayes' rule
zbMATH Keywords: Occam's razor
zbMATH Keywords: learning best model granularity
zbMATH Keywords: on-line handwritten character recognition
zbMATH Keywords: improved elastic matching
zbMATH Keywords: learning optimal feature extraction interval
zbMATH Keywords: modeling robot arm
zbMATH Keywords: feedforward neural network
zbMATH Keywords: learning optimal hidden layer
MaRDI profile type: Publication
cites work: The minimum description length principle in coding and modeling
cites work: Q4023085
cites work: Q3493263
cites work: Q5726065
cites work: The miraculous universal distribution
cites work: Q3214803
cites work: Inductive reasoning and Kolmogorov complexity
cites work: Q4337021
cites work: The definition of random sequences
cites work: Inferring decision trees using the minimum description length principle
cites work: Modeling by shortest data description
cites work: Universal coding, information, prediction, and estimation
cites work: Q3995624
cites work: Q3800883
cites work: A formal theory of inductive inference. Part I
cites work: Complexity-based induction systems: Comparisons and convergence theorems
cites work: Deductive learning
cites work: A theory of the learnable
cites work: Minimum description length induction, Bayesianism, and Kolmogorov complexity
cites work: An Information Measure for Classification
cites work: Q3799484
full work available at URL: s0004-3702(00)00034-5
OpenAlex ID: W2170052858
Wikidata QID: Q128012734
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description: scientific article; zbMATH DE number 1521719