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Families, Friends and Allies
This study offers a new model of political development for northern France through an analysis of the interrelationships between the counts of Boulogne and their neighbors in Flanders, Picardy, Normandy, and England. It also illuminates the little studied relations between less powerful counts and their neighboring territorial princes. Organized chronologically from the late ninth through mid-twelfth century, each chapter provides a political narrative and an analysis of the use of kinship and alliance (formal and informal) to govern and conduct politics. The final chapter examines the formation of reputation and identity of the comital family of Boulogne. The book is part of the larger debate on feudalism, the rise of government institutions, kinship and identity.
Managing Credit Risk
Managing Credit Risk, Second Edition opens with a detailed discussion of today’s global credit markets—touching on everything from the emergence of hedge funds as major players to the growing influence of rating agencies. After gaining a firm understanding of these issues, you’ll be introduced to some of the most effective credit risk management tools, techniques, and vehicles currently available. If you need to keep up with the constant changes in the world of credit risk management, this book will show you how.
Practical Graph Mining with R
Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from another, and the use of those patterns to predict the category of new graphs. Hands-On Application of Graph Data Mining Each chapter in the book focuses on a graph mining task, such as link analysis, clust...
Computational Business Analytics
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. Wit...
The Description of England
Presents a portrait of daily life in Tudor England, including food and diet, laws, clothing, punishments for criminals, languages, lodging, and the appearance of the people.
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Support Vector Machines
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)—classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. The authors share insight on many of their research achievements. They give a precise interpretation of statistical leaning theory for C-support vector classification. They also discuss regularized twin SVMs for binary classification problems, SVMs for solving multi-classification problems based on ordinal regression, SVMs for sem...
