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The minimum description length principle in coding and modeling
- IEEE TRANS. INFORM. THEORY
, 1998
"... We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the solution to optimum universal coding problems extending Shannon’s basic source coding theorem. The normalized maximized ..."
Abstract
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Cited by 390 (17 self)
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We review the principles of Minimum Description Length and Stochastic Complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the solution to optimum universal coding problems extending Shannon’s basic source coding theorem. The normalized maximized
Minimum Description length principle
"... Abstract — Denoising has always been theoretically considered as removal of high frequency disturbances having Gaussian distribution. Here we relax this assumption and generalize it as separation of data from two sources based on thier complexity without taking assumption of distribution of both sou ..."
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. The coefficients are distributed to bins in two types of histograms using the principles of Minimum Description Length(MDL). One histogram represents noise which can not be compressed easily and the other represents data which can be coded in small code length. The histograms made can have variable width for bins
Pruning with Minimum Description Length
- In Proceedings of the 5. Scandinavian Conference on Artificial Intelligence (SCAI'95
, 1995
"... The number of parameters in a model and its ability to generalize on the underlying datagenerating machinery are tightly coupled entities. Neural networks consist usually of a large number of parameters, and pruning (the process of setting single parameters to zero) has been used to reduce the nets ..."
Abstract
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Cited by 1 (1 self)
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complexity in order to increase its generalization ability. Another less obvious approach is to use Minimum Description Length (MDL) to increase generalization. MDL is the only model selection criterion giving a uniform treatment of a) the complexity of the model and b) how well the model fits a specific
Information Geometry and Minimum Description Length Networks
"... Information geometry and minimum description length networks ..."
Inferring decision trees using the minimum description length principle
, 1989
"... We explore the use of Rissanen’s minimum description length principle for the construction of decision trees. Empirical results comparing this approach to other methods are given. ..."
Abstract
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Cited by 319 (7 self)
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We explore the use of Rissanen’s minimum description length principle for the construction of decision trees. Empirical results comparing this approach to other methods are given.
Minimum Description Length and
, 2000
"... In [12] we have shown that the standard definition of compositionality is formally vacuous; that is, any semantics can be easily encoded as a compositional semantics. We have also shown that ..."
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In [12] we have shown that the standard definition of compositionality is formally vacuous; that is, any semantics can be easily encoded as a compositional semantics. We have also shown that
a Minimum Description Length
"... This paper reports the present results of a research on unsupervised Persian morpheme discovery. In this paper we present a method for discovering the morphemes of Persian language through automatic analysis of corpora. We utilized ..."
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This paper reports the present results of a research on unsupervised Persian morpheme discovery. In this paper we present a method for discovering the morphemes of Persian language through automatic analysis of corpora. We utilized
Introducing the Minimum Description Length Principle
"... This chapter provides a conceptual, entirely nontechnical introduction and overview of Rissanen’s minimum description length (MDL) principle. It serves as a basis for the technical introduction given in Chapter 2, in which all the ideas discussed here are made mathematically precise. ..."
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Cited by 3 (0 self)
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This chapter provides a conceptual, entirely nontechnical introduction and overview of Rissanen’s minimum description length (MDL) principle. It serves as a basis for the technical introduction given in Chapter 2, in which all the ideas discussed here are made mathematically precise.
A new minimum description length
- Proceeding of the IEEE Conference on American Control Conference
, 2003
"... The minimum description length(MDL) method is one of the pioneer methods of parametric order estima-tion with a wide range of applications. We investi-gate the definition of two-stage MDL for parametric linear model sets and exhibit some drawbacks of the theory behind the existing MDL. We introduce ..."
Abstract
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Cited by 2 (1 self)
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The minimum description length(MDL) method is one of the pioneer methods of parametric order estima-tion with a wide range of applications. We investi-gate the definition of two-stage MDL for parametric linear model sets and exhibit some drawbacks of the theory behind the existing MDL. We introduce
Results 1 - 10
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