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This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-worl...

Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches, which in turn has implications for unemployment and informality rates. Despite information failures and the...

An end-to-end methodology based on deep learning for the detection and localization of microcalcifications in digital mammograms introduces a novel methodology designed for the preprocessing and localization of clusters ...

It is a privilege to present you with this stimulating book, which brings together an exceptional selection of ideas, experiences and reflections resulting from the meeting of a wide range of innovative educators from di...

The communicators’ training is one the fields with more updates due to constant changes faced every year. Therefore, digital native students have competencies developed in an informal way that become a natural bridge t...

We investigated the longitudinal predictors of reading and spelling of words and pseudowords with different syllabic structures in a shallow orthography. Participants were 47 Spanish-speaking children from kindergarten t...

Machine learning has arisen with advanced data analytics. Many factors influence crop yield, such as soil, amount of water, climate, and genotype. Determining factors that significantly influence yield prediction and ide...

A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Mach...

Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...

This book, first published in 2002, contains an introduction to hyperbolic partial differential equations and a powerful class of numerical methods for approximating their solution, including both linear problems and non...

Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describe...

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit p...

Materie / parole chiave: Active learning; Educational innovations; Education; Experimental methods

Materie / parole chiave: Adult education; Colombia; Adult learning; College teachers; Teaching Methods

Materie / parole chiave: Teaching; Education; Experimental methods; Thought and thinking; Study and teaching; Learning, Psychology of; Critical thinking; Cognition in children

Materie / parole chiave: Education; Experimental methods; Teaching; Methodology; Education, Higher; Effective teaching; Learning strategies; Teacher effectiveness; Educational planning; Electronic books

Study abroad has been a matter of concern in sociolinguistics for a few decades now. Nevertheless, research on study abroad has rarely combined the study of sociolinguistic aspects with the analysis of perceived language...