Inductive Logic Programming (ILP) and Relational Data Mining (RDM) address the task of inducing models or patterns from multi-relational data. One of the established approaches to RDM is propositionalization, characterized by transforming a relational database into a single-table representation. This paper presents a propositionalization technique called wordification which can be seen as a tra...

In this paper, we propose a new stereo matching algorithm using an iterated graph cuts and mean shift filtering technique. Our algorithm consists of following two steps. In the first step, given an estimated sparse RDM (Reliable Disparity Map), we obtain an updated dense disparity map through a new constrained energy minimization framework that can cope with occlusion. The graph cuts technique ...

BACKGROUND Many cancer interventional clinical trials are not completed because the required number of eligible patients are not enrolled. OBJECTIVE To assess the value of using a research data mart (RDM) during the design of cancer clinical trials as a predictor of potential patient accrual, so that less trials fail to meet enrollment requirements. MATERIALS AND METHODS The eligibility cri...

Jonathan St. B. T. Evans, in his engaging article “Rationality and the illusion of choice” (Evans, 2014) argues that erroneous answers to questions posed in the study of reasoning and decision-making (RDM) ought not be viewed as irrational, just as errors in other cognitive domains are not viewed as irrational. He attributes misuse of the term partly to use of normative models borrowed from eco...

Purpose: The present scoping review examines research data management (RDM) best practices and empirical studies in academic libraries between 2010 2021. Method: current study developed systematic database searches to locate potential articles for inclusion designed a detailed coding scheme examine the substantive features of RDM characteristics practice, with an emphasis on instruction. Result...

The computer simulation of complex phenomena is a challenging issue for studying their properties. Several models and techniques have been developed in order to provide useful conceptual and computational frameworks. The aim of this paper is to present a simulation model based on the Reaction-Diffusion Machine (RDM) and to discuss its implementation by a system based on multiagent and Object Or...

In this work, we present a method to build first order reduced density matrix (1-RDM) of molecule from variational Quantum Monte Carlo (VMC) computations by means given correlated mapping wave function. Such function is modeled on Generalized Valence Bond plus Complete Active Space Self Configuration Interaction form and fits at best the resulting Slater-Jastrow VMC. The accuracy proposed has b...

First, a short introduction to inductive logic programming and machine learning is presented and then an inductive database mining query language RDM (Relational Database Mining language). RDM integrates concepts from inductive logic programming, constraint logic programming, deductive databases and meta-programming into a flexible environment for relational knowledge discovery in databases. Th...

Introducción: La diabetes mellitus (DM) se ha convertido en una epidemia; México las cifras ascienden a 12 millones de adultos. debilidad muscular y pérdida equilibrio que presentan los pacientes con tipo 2 (DT2) afecta el ciclo la marcha lo aumenta riesgo caídas (RC). Una estrategias logrado reducir RC personas viven DT2 son intervenciones fisioterapéuticas. Objetivo: Determinar efecto interve...

Background/Aim. Polymerization shrinkage of filling materials is one the main disadvantages adhesive restorative dentistry. The objective study was to measure tooth cusps deflection caused by polymerization a resin-based dental material (RDM) in real-time using digital holographic interferometry (DHI) two groups cavities restored with and without an additional wall. Simultaneously, internal mec...