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Sinopsis
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.
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Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.
Reseña del editor
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.
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Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
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Information Science Reference, 2012
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Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
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Information Science Reference, 2012
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ISBN 13: 9781466619005
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to . Nº de ref. del artículo: 16793736
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Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
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Information Science Reference, 2012
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ISBN 13: 9781466619005
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Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems
Publicado por
Information Science Reference, 2012
ISBN 10: 1466619007
ISBN 13: 9781466619005
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations. Nº de ref. del artículo: 9781466619005
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