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Synopsis
Discover how the theory of tangles identifies types of qualities in data sets, offering a structural approach to artificial intelligence.
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About the Author
Reinhard Diestel is Chair of Discrete Mathematics at Universität Hamburg, where he works on structural graph theory and combinatorics. He is the author of the leading graduate-level text 'Graph Theory' (6th edition, 2024), which has been translated into German, Russian, Japanese, and Chinese.
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TANGLES
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Cambridge University Press, 2024
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
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Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences
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Cambridge University Press 2024-06-30, 2024
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Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences
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Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences
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ISBN 13: 9781009473316
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Tangles (Hardcover)
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Cambridge University Press, Cambridge, 2024
ISBN 10: 100947331X
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Hardcover. Condition: new. Hardcover. Tangles offer a precise way to identify structure in imprecise data. By grouping qualities that often occur together, they not only reveal clusters of things but also types of their qualities: types of political views, of texts, of health conditions, or of proteins. Tangles offer a new, structural, approach to artificial intelligence that can help us understand, classify, and predict complex phenomena. This has become possible by the recent axiomatization of the mathematical theory of tangles, which has made it applicable far beyond its origin in graph theory: from clustering in data science and machine learning to predicting customer behaviour in economics; from DNA sequencing and drug development to text and image analysis. Such applications are explored here for the first time. Assuming only basic undergraduate mathematics, the theory of tangles and its potential implications are made accessible to scientists, computer scientists, and social scientists. The mathematical theory of tangles, the centrepiece of the celebrated Robertson-Seymour theory of graph minors, finds precise structure in imprecise data. Assuming only basic undergraduate mathematics, this book shows how tangles can identify, relate, and structure types in data: of behaviour, political views, texts, or proteins. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781009473316
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Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences
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Tangles : A Structural Approach to Artificial Intelligence in the Empirical Sciences
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Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences
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Tangles: A Structural Approach to Artificial Intelligence in the Empirical Sciences
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