Minimum Message Length and Kolmogorov Complexity (1999)

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by C. S. Wallace , D. L. Dowe
Venue:Computer Journal
Citations:104 - 25 self

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8 MML mixture modelling of multi-state, Poisson, von Mises circular and Gaussian distributions – Chris Wallace, David L. Dowe - 1997
6 Intrinsic Classification by MML—the Snob Program – Christopher S. Wallace, David L. Dowe - 1994
4 CIRCULAR CLUSTERING BY MINIMUM MESSAGE LENGTH OF PROTEIN DIHEDRAL ANGLES – David L. Dowe, Lloyd Allison, Trevor I. Dix, Lawrence Hunter, Chris S. Wallace, Timothy Edgoose - 1995
32 MML clustering of multi-state, Poisson, von Mises circular and Gaussian distributions – Chris S. Wallace, David L. Dowe - 2000
13 Bayes not Bust! Why Simplicity is no Problem for Bayesians – David L. Dowe, Steve Gardner, Graham Oppy - 2007
58 A tutorial introduction to the minimum description length principle – Peter Grünwald
6 MDL and MML: Similarities and Differences (Introduction to Minimum Encoding Inference -- Part III) – Rohan A. Baxter, Jonathan Oliver - 1994
Ninimum Message Length and Statistically Consistent Invariant; (Objective?) Bayesian Probabilistic Inference -- From (Medical) “Evidence” – David L. Dowe - 2008
1 Introducing the Minimum Description Length Principle – Peter Grünwald
67 Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity – Paul Vitányi, Ming Li - 1998
Potential Properties of Turing Machines – José Hernández-orallo, David L. Dowe - 2012
1 Inferring Phylogenetic Graphs for Natural Languages Using MML – Jane N. Ooi, David L. Dowe - 2005
1 Luckiness and Regret in Minimum Description Length Inference – Steven De Rooij, Peter D. Grünwald - 2009
20 Applying MDL to Learning Best Model Granularity – Qiong Gao, Ming Li, Paul Vitányi - 1994
6 MML and Bayesianism: Similarities and Differences (Introduction to Minimum Encoding Inference -- Part II) – Jonathan J. Oliver , Rohan A. Baxter - 1994
33 A Non-behavioural, Computational Extension to the Turing Test – David L. Dowe, Alan R - 1998
5 Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties – Gerhard Visser, David L. Dowe - 2007
1 Schwarz, Wallace, and Rissanen: Intertwining Themes in Theories of Model Selection – Aaron D. Lanterman - 2000
17 Variational learning and bits-back coding: an information-theoretic view to Bayesian learning – Antti Honkela, Harri Valpola