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41
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A tutorial introduction to the minimum description length principle
– Peter Grünwald
|
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1
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Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Selection
– Aaron D. Lanterman
- 2000
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|
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Introducing the Minimum Description Length Principle
– Peter Grünwald
|
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21
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Introduction to Minimum Encoding Inference
– Jonathan J. Oliver, David Hand
- 1994
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36
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MDL Denoising
– Jorma Rissanen, J. Rissanen
- 1999
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6
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MDL and MML: Similarities and Differences (Introduction to Minimum Encoding Inference -- Part III)
– Rohan A. Baxter, Jonathan Oliver
- 1994
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30
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Complexity-Regularized Image Denoising
– Juan Liu, Pierre Moulin
- 1997
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4
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Wavelet Thresholding via MDL: Simultaneous Denoising and Compression
– Mark Hansen, Bin Yu
- 1999
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23
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Wavelet thresholding via mdl for natural images
– Mark Hansen, Bin Yu
- 2000
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12
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Statistical Imaging and Complexity Regularization
– Pierre Moulin, Juan Liu
- 1999
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6
|
Model Selection by Normalized Maximum Likelihood
– Jay I. Myung , Daniel J. Navarro , Mark A. Pitt
- 2005
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Master Thesis
– Lanterman
- 91
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60
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Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity
– Paul Vitányi, Ming Li
- 1998
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17
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Applying MDL to Learning Best Model Granularity
– Qiong Gao, Ming Li, Paul Vitányi
- 1994
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83
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Multiresolution markov models for signal and image processing
– Alan S. Willsky
- 2002
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39
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Wavelet-Based Image Estimation: An Empirical Bayes Approach Using Jeffreys' Noninformative Prior
– Mario A. T. Figueiredo, Robert D. Nowak
- 2001
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INDUCTIVE INFERENCE BY USING INFORMATION COMPRESSION
– Ben Choi
|
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33
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Local discriminant bases and their applications
– Ronald R. Coifman
- 1995
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MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES
– Wray Buntine
|