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Introduction The dramatic increase in available computer storage capacity over the last 10 years has led to the creation of very large databases of scienti?c and commercial information. The need to analyze these masses of data has led to the evolution of the new ?eld knowledge discovery in databases (KDD) at the intersection of machine learning, statistics and database technology. Being interdisciplinary by nature, the ?eld o?ers the opportunity to combine the expertise of di?erent ?elds intoacommonobjective.Moreover,withineach?elddiversemethodshave been developed and justi?ed with respect to di?erent quality criteria. We have toinvestigatehowthesemethods cancontributeto solvingthe problemof...
This is the definitive work on Americans taken prisoner during the Revolutionary War. The bulk of the book is devoted to personal accounts, many of them moving, of the conditions endured by U.S. prisoners at the hands of the British, as preserved in journals or diaries kept by physicians, ships' captains, and the prisoners themselves. Of greater genealogical interest is the alphabetical list of 8,000 men who were imprisoned on the British vessel The Old Jersey, which the author copied from the papers of the British War Department and incorporated in the appendix to the work. Also included is a Muster Roll of Captain Abraham Shepherd's Company of Virginia Riflemen and a section on soldiers of the Pennsylvania Flying Camp who perished in prison, 1776-1777.
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These proceedings feature some of the latest important results about machine learning based on methods originated in Computer Science and Statistics. In addition to papers discussing theoretical analysis of the performance of procedures for classification and prediction, the papers in this book cover novel versions of Support Vector Machines (SVM), Principal Component methods, Lasso prediction models, and Boosting and Clustering. Also included are applications such as multi-level spatial models for diagnosis of eye disease, hyperclique methods for identifying protein interactions, robust SVM models for detection of fraudulent banking transactions, etc. This book should be of interest to researchers who want to learn about the various new directions that the field is taking, to graduate students who want to find a useful and exciting topic for their research or learn the latest techniques for conducting comparative studies, and to engineers and scientists who want to see examples of how to modify the basic high-dimensional methods to apply to real world applications with special conditions and constraints.