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Digital Scholar: Learning in the Age of Internet" is your gateway to a dynamic world where education and research flourish in the digital landscape. In an era defined by limitless information and global connectivity, thi...

La visión artificial es una disciplina científica formada por un conjunto de técnicas que permiten la captura, el procesamiento y el análisis de imágenes, con el fin de extraer información de utilidad. Su objetivo ...

This book is the result of a research project called EU-TeachPaaS, funded by the European Union through the Erasmus+ programme (2020-1-ES01-KA226-HE-095035). EU-TeachPaaS complies with the priority area “Innovative pra...

Este libro describe resultados del equipo español del proyecto Erasmus+ OIR (Open Innovative Resources for distance learning) (2020-1-PL01-KA226-HE-096059), cofinanciado por la Unión Europea. El objetivo principal del ...

Este trabajo, estructurado en dos partes, contempla la creación del sistema escolar femenino en Jaén entre 1875 y 1930. En él se observa cómo eran las escuelas de niñas que comienzan a abrirse, su pobreza, dimensio...

The Egyptological core of Plutarch's De Iside et Osiride was last scrutinized by a competent scholar in 2000; as it was part of a Romanian-language dissertation which was never released in print and only recently put ope...

The present volume represents a compilation of international teacher education practice and research with a focus on Teacher Education for Contemporary Contexts. It draws upon the diverse educational perspectives, teachi...

The network society (Van Dijk, 2020) has completely blurred the traditional difference between virtual and real life, Our day to day is increasingly characterised by our continuous connection to the Internet, Multiple da...

This book is a material aimed at training new graduates and updating practising professionals within the framework of early childhood care (0-6 years). It also opens up training to new professions such as health engineer...

Subjects / keywords: Education; Methodology; Open learning; Active learning; Electronic books

Subjects / keywords: Open educational resources; Project method in teaching; Instructional systems; Open learning; Educational technology; Electronic books

Subjects / keywords: MOOCs (Web-based instruction); Distance education; Open learning; Electronic books

Subjects / keywords: Open educational resources; Project method in teaching; Instructional systems; Open learning; Educational technology; Electronic books

We propose a simple, yet effective approach for spatiotemporal feature learning using deep 3-dimensional convolutional networks (3D ConvNets) trained on a large scale supervised video dataset. Our findings are three-fold...

Predicting face attributes in the wild is challenging due to complex face variations. We propose a novel deep learning framework for attribute prediction in the wild. It cascades two CNNs, LNet and ANet, which are fine-t...

The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known whether, in practice, such overestimations are common, whether they harm performance, and whet...

Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers...

During the last decade, the data sizes have grown faster than the speed of processors. In this context, the capabilities of statistical machine learning methods is limited by the computing time rather than the sample siz...

We present Momentum Contrast (MoCo) for unsupervised visual representation learning. From a perspective on contrastive learning as dictionary look-up, we build a dynamic dictionary with a queue and a moving-averaged enco...

Well-planned online learning experiences are meaningfully different from courses offered online in response to a crisis or disaster. Colleges and universities working to maintain instruction during the COVID-19 pandemic ...

Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boosting

Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance ...

Subjects / keywords: Generalization; Statistical learning theory; Statistical learning; Learning theory; Function (biology); Statistical theory; Epistemology; Computer science; Artificial intelligence; Mathematics; Mathematics education; Phi...

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...