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Plato and Aristotle both believed that the arts were mimetic creations of the human mind that had the power to influence society. In this they were representative of a widespread consensus in ancient culture. Cultural and political impulses informed the fine arts, and these in turn shaped—and were often intended to shape—the living world. The contributors to this volume, all of whom have been encouraged and inspired by the work of Peter Green, document the interaction between life and the arts that has made art more lively and life more artful in sixteen essays with subjects ranging from antiquity to modern times. With topics ranging from Antigone to D. H. Lawrence and Norman Douglas, and from Bactrian coins to Livy's characterization of women, the scope, the zest, and the scholarship of these essays will illuminate new avenues in our understanding of the relationship between classics and culture, and in our appreciation of both the artistic products that have come down to us and the varieties of life from which they spring.
This book examines legal evolution in selected areas affected by the integrative process and provides the reader with relevant sources in European Economic Law. This book investigates the effect of European integration on law and the effect of law on European integration.
This volume provides a rigorously structured analysis of the EU system of judicial protection and procedure before the Union courts. It examines their role, competences and the types of actions that may be brought before them.
This paper presents a novel approach to investigate and model the network of euro area banks’ large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral linkages. We develop a Contagion Mapping model fully calibrated with bank-level data to study the contagion potential of an exogenous shock via credit and funding risks. We find that tipping points shifting the euro area banking system from a less vulnerable state to a highly vulnerable state are a non-linear function of the combination of network structures and bank-specific characteristics.
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing metho...
"The Most Important Treatise on Criminal Law Produced by American Legal Scholarship" First published to great acclaim in 1947, Hall's General Principles of Criminal Law is one of the undisputed classics in its field. It provides more than a broad overview. Drawing on his expertise in jurisprudence and the work of the legal realists, it analyzes the principles that comprise criminal activity with an emphasis on its creation and definition by officials. This process is explored in the chapters on criminology, criminal theory and penal theory and, in more specific terms, the chapters on legality, mens rea, harm, causation, punishment, strict liability, ignorance and mistake, necessity and coerc...
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. - Very relevant to current research challenges faced in various fields - Self-contained reference to machine learning - Emphasis on applications-oriented techniques
Reprint of the original, first published in 1865.
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