Graphical models, such as Bayesian networks and Markov networks, represent joint distributions over a set of variables by means of a graph. When the graph is singly connected, local propagation rules of the sort proposed by Pearl (1988) are guaranteed to converge to the correct posterior probabilities. Recently, a number of researchers have empirically demonstrated good performance of these sam...

The paper considers common methodological primitives for phased construction of data visualization models, which will help to create new graphical models of data security visualization, or will help to show advantages and disadvantages of existing models. The paper also considers examples of graphical models and additional tools, which allow to work with these models. The purpose of the paper i...

Service-oriented computing aims at composing independent services to achieve a common goal. Although very flexible, this independence may result in incompatibilities. A pragmatic approach to overcome such incompatibilities offer adapters. An adapter is again a service which reorganizes the message exchange in a service composition to avoid incompatibilities. Given a set of domain-specific messa...

We present the optimization package in the FACTORIE library for machine learning, graphical models, and natural language processing in Scala. The library is designed with an eye towards the way practitioners naturally break down the structure of a learning problem, giving first-class status to, for example, training examples, update rules, and regularization. It supports flexible mixing and mat...

In this paper, we provide a complete answer to the question of characteristic cones for a general discrete autonomous nD system described by partial difference equations with real constant coefficients. A characteristic cone is a special subset (having the structure of a cone) of the domain, here Zn, such that the knowledge of the trajectories on this set uniquely determines them over the whole...

MOTIVATION The general-time-reversible (GTR) model is one of the most popular models of nucleotide substitution because it constitutes a good trade-off between mathematical tractability and biological reality. However, when it is applied for inferring evolutionary distances and/or instantaneous rate matrices, the GTR model seems more prone to inapplicability than more restrictive time-reversibl...

A business process model should be explained to the business stakeholders to validate that it is a correct representation of targeted information of a particular domain. A business process model is typically represented by using a graphical notation such as Business Process Modelling Notation (BPMN). A graphical representation of a business process model can be complex to understand for the bus...

With the rapid increase of integration and complexity industrial components, inaccessibility inapplicability existing nondestructive testing devices have become a bottleneck for in situ inspection these objects. This article introduces miniaturized active thermography system featured with small-size, low-resolution, low-cost thermal sensor, where two optional excitation sources including flash ...

This paper introduces a set of English grammar symbols that the author has developed to enhance students’ understanding and consequently, application of the English grammar rules. A pretest-posttest control-group design was carried out in which the samples were students in two girls’ senior high schools (N=135, P ≤ 0.05) divided into two groups: the Treatment which received gramm...