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This is the first full-scale study of the political radicalism of Iolo Morganwg, the renowned Welsh romantic whose colourful life as a Glamorgan stonemason, poet, writer, political activist and humanitarian made him one of the founders of modern Wales. This path-breaking volume offers a vivid portrait of a natural contrarian who tilted against the forces of the establishment for the whole of his adult life. Known as the ‘Bard of Liberty’ or the ’little republican bard’, he moved in highly-politicized circles, embraced republicanism, founded the Gorsedd of the Bards of the Isle of Britain, threw in his lot with Unitarians, promoted a sense of cultural nationalism, and supported the anti-slave trade campaign and the anti-war movement during years of war, oppression and cruelty.
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers. The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.