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Second, sensory input behavior output models are selected by utilizing Minimal Description Length (MDL) criterion.
Some researchers have proposed different clustering algorithm based on different principle, such as A Yassine presented a clustering objective function by using the minimal description length principle [26], S E Carlson and N Ter-Minassian proposed a clustering algorithm based on coordination cost [27].
One can also choose a network quality measure that contains a penalty for network size, for example, the Bayesian information criterion [ 28] and the minimal description length [ 29].
The optimal binning method using the minimal description length principle was used to predict outcomes after AMI: inhospital mortality, survival after 6 months and survival after 12 months.
The authors have shown that the MIT score gives more accurate results than the Minimal Description Length (MDL) score, while taking less time than Bayesian Dirichlet equivalence (BDe) score.
Model selection approaches that follow the parsimony principle, such as the Akaike information criterion or minimal description length [ 24], deal with finding a trade-off between the model error and the model complexity.
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A minimum description length approach to statistical shape modeling.
As it was estimated according to the minimum description length criteria35, six components were extracted.
The number of estimated components was determined according to the minimum description length criteria35.
Based on the minimum description length (MDL 30 criterion, 24 components were estimated.
minimum description length criterion.
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