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New intervention approaches are required for dating violence (DV) prevention, given the limited results of existing programs in achieving behavioral changes. The main objective of this study was to explore the effect of ...

The objective of this study is to perform a review and contextualize the existing definitions of educational quality from the managerial point of view. We will be presenting also the factors that have been considered to ...

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...

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...

Particular vertebral morphologies have been reported for coastal and oceanic cetaceans. Dall's porpoise (Phocoenoides dalli ) vertebral column is considered one of the most derived among cetaceans. Total vertebral count ...

Both in science and in practical affairs we reason by combining facts only inconclusively supported by evidence. Building on an abstract understanding of this process of combination, this book constructs a new theory of ...

Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of pane...

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, c...

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...

Preface. 1. Introduction. 1.1 Types of Polymers and Polymerizations. 1.2 Nomenclature of Polymers. 1.3 Linear, Branched, and Crosslinked Polymers. 1.4 Molecular Weight. 1.5 Physical State. 1.6 Applications of Polymers. 2...

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