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Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that... Læs mere
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In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is... Læs mere
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This book gives a solid basis for conducting performance evaluations of learning algorithms in practical settings with an emphasis on... Læs mere
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This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern... Læs mere
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The aim of this volume is to present a unified treatment of some of the major fields of applications of combinatorics. Areas covered include core algorithms for text... Læs mere
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This book deals with two important technologies in human-computer interaction: computer... Læs mere
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This book is a collection of papers that are representative of a growing body of work in computational auditory scene analysis.... Læs mere
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Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this title discusses dimensionality reduction... Læs mere
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Despite their exaggerated features, caricatures can remain instantly recognizable. The author assembles clues from a variety of sources to discover why, concluding that caricatures are effective for humans, animals and computer recognition systems.