Time Warps, String Edits and Macromolecules is a young classic in computational science. The computational perspective is that of sequence processing, in particular the problem of recognizing related sequences. The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively. This is called string distance, Levenshtein distance, or edit distance. The book contains lucid explanations of the basic techniques; well-annotated examples of applications; mathematical analysis of its computational (algorithmic) complexity; and extensive discussion of the variants needed for weighted measures, timed sequences (songs), applications to continuous data, comparison of multiple sequences and extensions to tree-structures. This theory finds applications in molecular biology, speech recognition, analysis of bird song and error correcting in computer software.
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Soft cover. Etat : Good. Octavo. [xxiv prelims] 382 pages. A colour map as a frontispiece; numerous b&w diagrams and tables within the text. A 'David Hume Series on Philosophy and Cognitive Science' reissue of a text first published in 1983. New Introduction by John Nerbonne with Wilbert Heeringa and Peter Kleiweg. Good. Page edges dull with a few small foxed spots to the top. Cover has worn edges, spine ends and corners. Both faces rubbed and marked; several wrinkles to the spine where the plastic lamination has lifted. N° de réf. du vendeur 1925
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Paperback. Etat : new. Paperback. Time Warps, String Edits and Macromolecules is a young classic in computational science. The computational perspective is that of sequence processing, in particular the problem of recognizing related sequences. The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively. This is called string distance, Levenshtein distance, or edit distance. The book contains lucid explanations of the basic techniques; well-annotated examples of applications; mathematical analysis of its computational (algorithmic) complexity; and extensive discussion of the variants needed for weighted measures, timed sequences (songs), applications to continuous data, comparison of multiple sequences and extensions to tree-structures. This theory finds applications in molecular biology, speech recognition, analysis of bird song and error correcting in computer software. This book is the first compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively. The book contains lucid explanations of the basic techniques, well-annotated examples of applications, and mathematical analysis of its computational (algorithmic) complexity. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781575862170
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