introduction: prior studies comparing hemodynamic response function (hrf) in the young and elderly adults based on fmri data have reported inconsistent findings for brain vision and motor regions in healthy aging. it is shown that the averaging method employed in all previous works has caused this inconsistency. the averaging is so sensitive to outliers and noise. however, fmri data are obscure...

Abstract Mining patterns is a core task in data analysis and, beyond issues of efficient enumeration, the selection constitutes major challenge. The Minimum Description Length (MDL) principle, model method grounded information theory, has been applied to pattern mining with aim obtain compact high-quality sets patterns. After giving an outline relevant concepts from theory and coding, we review...

G-Enum histograms are a new fast and fully automated method for irregular histogram construction. By framing construction as density estimation problem its automation model selection task, these leverage the Minimum Description Length principle (MDL) to derive two different criteria. Several proven theoretical results about criteria give insights their asymptotic behavior used speed up optimisa...

Contrasting “geometric fitting”, for which the noise level is taken as the asymptotic variable, with “statistical inference”, for which the number of observations is taken as the asymptotic variable, we give a new definition of the “geometric AIC” and the “geometric MDL” as the counterparts of Akaike’s AIC and Rissanen’s MDL. We discuss various theoretical and practical problems that emerge fro...

: Reference assisted assembly requires the use of a reference sequence, as a model, to assist in the assembly of the novel genome. The standard method for identifying the best reference sequence for the assembly of a novel genome aims at counting the number of reads that align to the reference sequence, and then choosing the reference sequence which has the highest number of reads aligning to i...

Multi-Domain Logic (MDL) is a generalization of signed logic, in which every variable has its own domain. This aspect increases the efficiency of direct solving of MDL satisfiability, because the solving process proceeds by reducing the size of the domains (contradiction appears as an empty domain). In contrast to the usual approach of translating signed logic satisfiability into boolean satisf...

Minimum Description Length (MDL) is an important principle for induction and prediction, with strong relations to optimal Bayesian learning. This paper deals with learning non-i.i.d. processes by means of two-part MDL, where the underlying model class is countable. We consider the online learning framework, i.e. observations come in one by one, and the predictor is allowed to update his state o...

colleagues [1] demonstrated that, compared with the Macintosh direct laryngoscope (MDL), the C-MAC videolaryngoscope (C-MAC) improved laryngeal view and achieved a higher intubation success rate on first attempt in patients with predictors of difficult intubation in the ICU. In the Materials and methods, however, the authors did not mention what position the patient’s head was placed during lar...

The susceptibilities of 20 clinical isolates of Mycobacterium intracellulare to rifampin, MDL 473, and ansamycin were determined by broth and agar dilution methods. Ansamycin was more active than MDL 473, which in turn was usually more active than rifampin by either method. The MICs for 90% of the strains tested by agar dilution were 1, 2, and 4 micrograms of ansamycin, MDL 473, and rifampin pe...

In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particularly adapted to the use of kernel K-means clustering algorithm. Its formulation is based on the definition of MDL derived for Gaussian Mixture Model (GMM). We demonstrate the efficiency of our approach on both synthe...