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This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theor...

Subjects / keywords: Computer science; Artificial intelligence; Pattern recognition (psychology)

Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book...

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. ran...

Subjects / keywords: Outlier; Robust regression; Anomaly detection; Regression; Computer science; Artificial intelligence; Statistics; Pattern recognition (psychology); Mathematics