In this paper, we present the implementation of a novel domain-specific language (DSL) for pharmacometric modeling called the Modelling Description Language (MDL). MDL is a modular, declarative language with block structures that allows users to abstract data, processes and mathematical models from auxiliary code, and hence, improves model readability, reusability and opportunities for collabor...

The Angiotensin I converting enzyme (ACE, EC 3.4.14.1, kininase II) and neutral endopeptidases (NEP, NEP 24.11) are mechanistically related metallopeptidases. They play a key role in the regulation of blood pressure, body fluid homeostasis and cell growth. Therefore, they are implicated in the pathogenesis of arterial hypertension, congestive heart failure, left ventricular remodeling after myo...

Rissanen's Minimum Description Length (MDL) principle is a statistical modeling principle motivated by coding theory. For exponential families we obtain pathwise expansions, to the constant order, of the predictive and mixture code lengths used in MDL. The results are useful for understanding diierent MDL forms.

MDL 62,879 (formerly GE 2270 A) is a novel antibiotic active against Gram-positive bacteria by inhibiting protein synthesis. MDL 62,879 is not active against Gram-negative bacteria, but inhibits cell-free protein synthesis in extracts from Escherichia coli, and shows a high binding affinity for its elongation factor Tu (EF-Tu). We prepared ribosomes and protein-synthesis elongation factors from...

The paper deals with the task of polynomial regression, i.e., inducing polynomial that can be used to predict a chosen dependent variable based on the values of independent ones. As in other induction tasks, there is a trade-off between the complexity of the induced polynomial and its predictive error. One of the approaches for searching an optimal trade-off is the Minimal Description Length pr...

(2R,5R)-6-Heptyne-2,5-diamine hydrochloride (MDL 72175) is a new, potent, and selective inhibitor of mammalian ornithine decarboxylase. MDL 72175 given p.o. in drinking fluid reduced by 80% the growth of EMT6 sarcoma in mice and of HTC hepatoma in rats. It prolonged the survival of mice bearing L1210 or P388 leukemias and inhibited the development of Lewis lung carcinoma in mice at doses 10- to...

Multi-Domain learning (MDL) assumes that the domain labels in the dataset are known. However, when there are multiple metadata attributes available, it is not always straightforward to select a single best attribute for domain partition, and it is possible that combining more than one metadata attributes (including continuous attributes) can lead to better MDL performance. In this work, we prop...

SUMMARY This paper addresses the problem of learning Bayesian belief networks (BBN) based on the minimum description length (MDL) principle. First, we give a formula of description length based on which the MDL-based procedure learns a BBN. Secondly, we point out that the diierence between the MDL-based and Cooper and Herskovits procedures is essentially in the priors rather than in the approac...

In this extended abstract we present our current work concerning the development of minimum description length (MDL) principle based solutions for medical image segmentation problems. Our application is the interpretation of overlapping nuclei in histological images in terms of individual nuclei within a parametric shape family. MDL is a well suited approach for this application as MDL provides...

Minimum Description Length (MDL) shape modelling has recently established itself as a gold standard in optimal shape modelling. By end of 2004, available MDL packages are written in Matlab and/or incorrectly. The purpose of this technical report is to list the most critical problems that occurred during a C++ implementation of MDL–based 2D shape modelling.