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Synopsis
The ultimate goal of machines is to help humans to solve problems.
Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance.
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Veloso,A.:Demand-Driven Associative (eng)
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Demand-Driven Associative Classification
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Demand-Driven Associative Classification
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Springer London Mai 2011, 2011
ISBN 10: 0857295241
ISBN 13: 9780857295248
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ultimate goal of machines is to help humans to solve problems.Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance. 128 pp. Englisch. Seller Inventory # 9780857295248
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Demand-Driven Associative Classification
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Demand-Driven Associative Classification
Published by
Springer London, Springer, 2011
ISBN 10: 0857295241
ISBN 13: 9780857295248
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The ultimate goal of machines is to help humans to solve problems.Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance. Seller Inventory # 9780857295248
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Demand-Driven Associative Classification
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Condition: New. This volume focuses on a major machine learning task known as classification. Some classification problems are hard to solve, but this book shows that they can be decomposed into much simpler sub-problems. Series: SpringerBriefs in Computer Science. Num Pages: 125 pages, 27 black & white illustrations, 19 black & white tables, biography. BIC Classification: UNF; UYA. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 6. Weight in Grams: 207. . 2011. Paperback. . . . . Seller Inventory # V9780857295248
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Demand-Driven Associative Classification (SpringerBriefs in Computer Science)
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Demand-Driven Associative Classification
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book only devoted to associative classification, which is an emerging classification strategyThe work puts associative classification algorithms into the existing machine learning theoryThe work lists several successful application sc. Seller Inventory # 5979337
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Demand-Driven Associative Classification
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Demand-Driven Associative Classification
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