Minimum Description Length (MDL) inference is based on the intuition that understanding the available data can be defined in terms of the ability to compress the data, i.e. to describe it in full using a shorter representation. This brief introduction discusses the design of the various codes used to implement MDL, focusing on the philosophically intriguing concepts of luckiness and regret : a ...

The correspondence problem is of high relevance in the construction and use of statistical models. Statistical models are used for a variety of medical application, e.g. segmentation, registration and shape analysis. In this paper, we present comparative studies in three anatomical structures of four different correspondence establishing methods. The goal in all of the presented studies is a mo...

Upon constructing a Bayesian network classifier from data, the accuracy of the resulting model can often be improved upon by selecting a subset of the available features. We show that the commonly used MDL function is not suited for feature selection. We introduce a new MDL-based function that is better tailored to this task. Our experimental results demonstrate that, with the new function, cla...

Segmentationlbindinglorganization is a problem at the heart of machine and human vision. There are various approaches to this problem, such as local filtering[l], region competition[2], MDL (minimum description length) method[3], global energy optimi-zation[4], and correlation theory of the brain[5]. In this paper, we see visual representation as building descriptions of MDL and formulate segme...

Background: Glidescope® video laryngoscope (GVL) is widely used in tracheal intubation. However, no studies have been conducted to compare the GVL and Macintosh direct laryngoscope (MDL) for intubation in patients with laryngeal neoplasm. Here, we aim to compare GVL and MDL for the intubation of laryngeal neoplasm patients. Methods: One hundred ninety-six American Society of Anesthesiology (ASA...

The so-called denoising problem, relative to normal models for noise, is formalized such that`noise' is deened as the incompressible part in the data while the compressible part deenes the meaningful information bearing signal. Such a decomposition is eeected by minimization of the ideal code length, called for by the Minimum Description Length (MDL) principle, and obtained by an application of...

The minimum description length (MDL) principle originated from data compression literature and has been considered for deriving statistical model selection procedures. Most of the existing methods that use the MDL principle focus on models with independent data, particularly in the context of linear regression. This paper considers data with repeated measurements and studies the selection of fi...

Multinomial processing tree (MPT) modeling has been widely and successfully applied as a statistical methodology for measuring hypothesized latent cognitive processes in selected experimental paradigms. In this article, we address the problem of selecting the best MPT model from a set of scientifically plausible MPT models, given observed data. We introduce a minimum description length (MDL) ba...

A nitrobenzene derivative, MDL-860, was found to inhibit plaque formation, cytopathic effect, or both in 11 of 12 picornaviruses at concentrations which did not affect cell growth. The compound did not directly inactivate the virus. MDL-860 inhibited actinomycin D-resistant [3H]uridine uptake in cells infected with coxsackievirus A21 or rhinovirus 1-A, whereas incorporation into uninfected cell...