Minimum description length

Minimum Description Length Criterion

he intelligibility of speech in communication systems is generally reduced by interfering noise. This interference, which can take the form of environmental noise, reverberation, competing speech, or electronic channel noise, reduces intelligibility by masking the signal of interest. The reduction in intelligibility is particularly troublesome for listeners with hearing impairments, who have gr...

Minimum Description Length Principle

The minimum description length (MDL) principle states that one should prefer the model that yields the shortest description of the data when the complexity of the model itself is also accounted for. MDL provides a versatile approach to statistical modeling. It is applicable to model selection and regularization. Modern versions of MDL lead to robust methods that are well suited for choosing an ...

The Minimum Description Length

Pruning with Minimum Description Length

The number of parameters in a model and its ability to generalize on the underlying data-generating 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 complexity in order to increase its generalization ability. Another less obvious approach is to ...

A New Minimum Description Length

The minimum description length(MDL) method is one of the pioneer methods of parametric order estimation with a wide range of applications. We investigate the definition of two-stage MDL for parametric linear model sets and exhibit some drawbacks of the theory behind the existing MDL. We introduce a new description length which is inspired by the Kolmogorov complexity principle.