We present a relational and evidence-based approach to building systems which can learn various identi cation, location and planning tasks in spatial and temporal domains. This machine learning problem is a di cult one because it involves, in addition to database operations such as indexing, the ability to generalize over training samples from continuous and relational data types. Relational ev...

BACKGROUND AND AIMS This study investigated the effectiveness of two different levels of e-learning when teaching clinical skills to medical students. MATERIALS AND METHODS Sixty medical students were included and randomized into two comparable groups. The groups were given either a video- or text/picture-based e-learning module and subsequently underwent both theoretical and practical examin...

background: training methods that enhance nurses' learning and retention will increase the quality of patient care. this study aimed to compare the effectiveness of electronic learning and educational booklet on the nurses' retention of diabetes updates.   methods: in this controlled trial study, convenience sampling was used to select 123 nurses from the endocrinology and internal medicine war...

background: training methods that enhance nurses’ learning and retention will increase the quality of patient care. this study aimed to compare the effectiveness of electronic learning and educational booklet on the nurses’ retention of diabetes updates.   methods: in this controlled trial study, convenience sampling was used to select 123 nurses from the endocrinology and internal medicine war...

this research aimed at evaluating the students’ information literacy and its relation with their tendency to e-learning. the research method was descriptive (correlation) from the point of view of gathering data, and an applied one from the point of view of objective (goal). the statistical population included all 9335 humanity major students of islamic azad university of tehran central branch....

There is a substantial and powerful literature in statistics and computer science clearly demonstrating that modern machine learning procedures can forecast more accurately than conventional parametric statistical models such as logistic regression. Yet, several recent studies have claimed that for criminal justice applications, forecasting accuracy is about the same. In this paper, we address ...

This paper describes a unifying framework for five highly influential but disparate theories (the five factors) of natural learning and behavioral action selection. These theories are normally considered independently, with their own experimental procedures and results. The framework builds on a structure of connection types, propagation rules and learning rules, which are used in combination t...