Recent Advances in Machine-Learning-Based Chemoinformatics: A Comprehensive Review

Machine learning methods in chemoinformatics

Machine learning algorithms are generally developed in computer science or adjacent disciplines and find their way into chemical modeling by a process of diffusion. Though particular machine learning methods are popular in chemoinformatics and quantitative structure-activity relationships (QSAR), many others exist in the technical literature. This discussion is methods-based and focused on some...

Recent Advances in Predictive (Machine) Learning

Prediction involves estimating the unknown value of an attribute of a system under study given the values of other measured attributes. In prediction (machine) learning the prediction rule is derived from data consisting of previously solved cases. Most methods for predictive learning were originated many years ago at the dawn of the computer age. Recently two new techniques have emerged that h...

Recent Advances in Example-Based Machine Translation

Recent Advances in Example - Based Machine Translation

This book, an outcome of a 2001 workshop on Example-Based Machine Translation (EBMT) in Santiago de Compostela, very appropriately starts with a preface by professor Makoto Nagao in which he explains how the limits of rule-based Machine Translation (MT) led him to propose his translation by analogy principle in 1981 (published as Nagao, 1984). His idea, inspired by second language learning meth...

A Comprehensive Review of Problem-based Learning in the Iranian Nursing Education

Background & Aims: Assessment and application of new educational approaches are essential to the enrichment of educational programs. Problem-based learning (PBL) is a novel educational approach, which is based on the principle of using problems as the starting point for the acquisition and combination of new knowledge. The present study aimed to systematically review the studies on PBL in nursi...