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Minimum message length
Known as:
MML
Minimum message length (MML) is a formal information theory restatement of Occam's Razor: even when models are not equal in goodness of fit accuracy…
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Related topics
Related topics
28 relations
A Mathematical Theory of Communication
Akaike information criterion
Algorithmic probability
Bayes factor
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Broader (1)
Algorithmic information theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Shrinkage and Denoising by Minimum Message Length
D. Schmidt
,
E. Makalic
2008
Corpus ID: 12969646
This paper examines orthonormal regression and wavelet denoising within the Minimum Message Length (MML) framework. A criterion…
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2006
2006
Efficient Linear Regression by Minimum Message Length
E. Makalic
,
D. Schmidt
2006
Corpus ID: 2606306
This paper presents an efficient and general solution to the linear regression problem using the Minimum Message Length (MML…
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2006
2006
A Minimum Message Length Approach to Inferring Deterioration of Pavements with Family Modeling
M. Byrne
,
Gnananandan Sanjayan
,
J. Kodikara
,
D. Albrecht
2006
Corpus ID: 109072422
This paper introduces Minimum Message Length Regression Trees (MMLRT). This modeling method can search and select from all…
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2005
2005
Inferring phylogenetic graphs of natural languages using minimum message length
J. Ooi
,
D. Dowe
2005
Corpus ID: 108381513
We extend phylogenetic (or evolutionary) trees to phylogenetic graphs. Unlike phylogenetic trees, phylogenetic graphs are capable…
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2002
2002
Argument Interpretation Using Minimum Message Length
Sarah George
,
Ingrid Zukerman
Australian Joint Conference on Artificial…
2002
Corpus ID: 26840812
We describe an argument interpretation mechanism which receives as input a segmented argument composed of Natural Language…
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2001
2001
Boosted decision graphs for NLP learning tasks
J. D. Patrick
,
Isha Goyal
Conference on Computational Natural Language…
2001
Corpus ID: 7687535
This paper reports the implementation of DRAPH-GP an extension of the decision graph algorithm DGRAPH-OW using the AdaBoost…
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1997
1997
Lexical Access for Speech Understanding using Minimum Message Length Encoding
Ian E. Thomas
,
Ingrid Zukerman
,
Jonathan J. Oliver
,
D. Albrecht
,
Bhavani Raskutti
Conference on Uncertainty in Artificial…
1997
Corpus ID: 5746472
The Lexical Access Problem consists of determining the intended sequence of words corresponding to an input sequence of phonemes…
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1996
1996
Estimation of Regression Disturbances Based on Minimum Message Length
Mizanur R Laskar
,
M. King
1996
Corpus ID: 118608866
This paper derives six different forms of message length functions for general linear regression model. In so doing, two…
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1996
1996
Lexical Access using Minimum Message Length Encoding
Ian E. Thomas
,
Ingrid Zukerman
,
Jonathan J. Oliver
,
Bhavani Raskutti
Pacific Rim International Conference on…
1996
Corpus ID: 14297056
A method for deriving equivalence classes for lexical access in speech recognition is considered, which automatically derives…
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1993
1993
A systematic search algorithm and its application to categorical attribute-value data-driven machine learning
Geoffrey I. Webb
1993
Corpus ID: 18094821
OPUS is a branch and bound search algorithm that enables efficient systematic search through spaces in which the order in which…
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