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Master Thesis
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41
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6
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Model Selection by Normalized Maximum Likelihood
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Introducing the Minimum Description Length Principle
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3
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114
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Model Selection and the Principle of Minimum Description Length
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16
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Minimum Encoding Approaches for Predictive Modeling
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On the Small Sample Size Behavior of Bayesian and Information-Theoretic Approaches for Predictive Inference
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18
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Predictability, Complexity, and Learning
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7
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An empirical study of minimum description length model selection with infinite parametric complexity
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2
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An empirical study of MDL model selection with infinite parametric complexity
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Following the Flattened Leader
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17
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Applying MDL to Learning Best Model Granularity
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- 1994
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60
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Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity
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47
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Hypothesis Selection and Testing by the MDL Principle
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2
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Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data
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4
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2
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Model Selection by Sequentially Normalized Least Squares
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