We exploit the Minimum Description Length (MDL) principle as a model selection technique for Bernoulli distributions and compare several types of MDL codes. We first present a simplistic crude two-part MDL code and a Normalized Maximum Likelihood (NML) code. We then focus on the enumerative two-part crude MDL code, suggest a Bayesian interpretation for finite size data samples, and exhibit a st...

In the context of wavelet denoising and compression, we study minimum description length (MDL) criteria for model selection criteria as exible forms of thresholding. Mixture MDL methods based on a single Laplacian, a two-piece Laplacian, and a generalized Gaussian prior are shown to be adaptive thresholding rules. While achieving mean squared error performance comparable with other popular thre...

Dengue virus (DV) reacts with myeloid DAP12-associating lectin-1 (MDL-1) on immature polymorphonuclear leukocytes. Interaction of DV with MDL-1+ cells triggers systemic inflammatory response syndrome (SIRS) and dengue shock syndrome (DSS), with subsequent multi-organ failure. In this issue of the JCI, Cheung et al. find that sterile acute liver injury in mice is associated with the accumulation...

Determining the number of sources in a received wave field is a well-known and a well-investigated problem. In this problem, the number of sources impinging on an array of sensors is to be estimated. The common approach for solving this problem is to use an information theoretic criterion like the minimum description length (MDL) or the Akaike information criterion. Under the assumption that th...

Non-rigid registration finds a dense correspondence between a pair of images, so that analogous structures in the two images are aligned. While this is sufficient for atlas comparisons, in order for registration to be an aid to diagnosis, registrations need to be performed on a set of images. In this paper we describe an objective function that can be used for this groupwise registration. We vi...

Mobile Device Learning (MDL), as a tool for student learning, is predicted by many scholars to be the transformational singularity forecasted to change traditional learning environments into student-centered, 21 Century classrooms. The literature is imbued with quantitative studies focused on teacher attitudes and teacher self-reported pedagogical practices regarding MDL. However, few qualitati...

In black cherry (Prunus serotina Ehrh.) macerates, the cyanogenic diglucoside (R)-amygdalin undergoes stepwise degradation to HCN catalyzed by amygdalin hydrolase (AH), prunasin hydrolase, and (R)-(+)-mandelonitrile lyase (MDL). A near full-length AH cDNA clone (pAH1), whose insert encodes the isozyme AH I, has been isolated and sequenced. AH I exhibits several features characteristic of beta-g...

The capacity in space division multiplexing (SDM) systems with coupled channels is fundamentally limited by mode-dependent loss (MDL) and gain (MDG) generated components amplifiers. In these systems, MDL/MDG must be accurately estimated for performance analysis troubleshooting. Most recent demonstrations of SDM perform estimation digital signal processing (DSP) techniques based on the coefficie...

The Minimum Description Length (MDL) principle provides guidance to the fundamental question of determining what a given set of observed data tells us about the underlying data generating machinery. Hence, in the broadest sense the MDL principle relates to the central question of all science, although its most useful applications have been to the more practical problem of tting statistical mode...

We extend Bayesian MAP and Minimum Description Length (MDL) learning by testing whether the data can be substantially more compressed by a mixture of the MDL/MAP distribution with another element of the model, and adjusting the learning rate if this is the case. While standard Bayes and MDL can fail to converge if the model is wrong, the resulting “safe” estimator continues to achieve good rate...