Modeling By Shortest Data Description*
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Summary
The number of digits it takes to write down an observed sequence x1,...,xN of a time series depends on the model with its parameters that one assumes to have generated the observed data.
- Type
- article
- Published
- 1978-09-01
- Cited by
- 6,924
- References
- 13
- OpenAlex
- https://openalex.org/W2054658115
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:30140639
Keywords
Computer science, Mathematics
References
- On entropy maximization principle
- Three approaches to the quantitative definition of information
- Generalized Kraft Inequality and Arithmetic Coding
- An Information Measure for Classification
- Information Theory and Statistics
- Estimating the Dimension of a Model
- System identification-A survey
- Information Theory and an Extension of the Maximum Likelihood Principle
- Estimation of Optimum Structures and Parameters for Linear Systems
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- Evaluation of the haplotype motif model using the principle of minimum description
- LINEAR-WAVELET MODELS FOR SYSTEM IDENTIFICATION
- Equation Discovery for Macroeconomic Modelling
- Evolving stochastic context-free grammars from examples using a minimum description length principle
- Reconciling simplicity and likelihood principles in perceptual organization.
- First-Order Logic Based Formalism for Temporal Data Mining *
- Combinatorial evolution of regression nodes in feedforward neural networks
- Qualitatively Faithful Quantitative Prediction
- A Novel Approach for Automatic Data Extraction from Heterogeneous Web Pages
- caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data
- Partition d'images par minimisation de la complexité stochastique et grille active : application à la segmentation d'images de radar à ouverture synthétique
- Group ICA of resting-state data: a comparison
- A computational model of word segmentation from continuous speech using transitional probabilities of atomic acoustic events.
- Inferring Phylogenetic Graphs for Natural Languages using MML
- Consensus policies to solve bioinformatic problems through Bayesian network classifiers and estimation of distribution algorithms
- Geometric Representation and Grouping of Image Curves
- Pattern-oriented Algorithmic Complexity: Towards Compression-based Information Retrieval. (Contribution à la théorie algorithmique de la complexité : méthodes pour la reconnaissance de formes et la recherche d'information basées sur la compression des données)
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