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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference: 2 - Brossura
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The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses – querying, data mining, data analysis – is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Introduction.- Knowledge Representation Using Formal Logic.- Quantifying and Managing Uncertainty.- Representing Temporal Knowledge.- Temporal Reasoning.- Representing and Reasoning On Spatial Knowledge.- Representing and Reasoning on Contextual Knowledge.- Causal Reasoning.- Extracting Logical Knowledge from Raw Data.- Scalable Spatiotemporal Logical Knowledge Storage.- Mining Patterns from Large Spatiotemporal Logical Knowledge Stores.- Probabilistic Logic Networks.- Temporal and Contextual Reasoning in PLN.- Inferring the Causes of Observed Changes.-Adaptive Inference Control.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book gives the first accessible, reasonably comprehensive and unified review of the various existing approaches to any of spatial, temporal or contextual logicThe book breaks new research ground via explaining theoretically and by means of exa. Codice articolo 5839561
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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (Atlantis Thinking Machines, 2)
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses - querying, data mining, data analysis - is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations. 280 pp. Englisch. Codice articolo 9789462390539
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses ¿ querying, data mining, data analysis ¿ is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch. Codice articolo 9789462390539
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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations. Every one of the major modes of interacting with such storehouses - querying, data mining, data analysis - is addressed by current technologies only in very limited and unsatisfactory ways. The impact of a solution to this problem would be huge and pervasive, as the domains of human pursuit to which such storehouses are acutely relevant is numerous and rapidly growing. Finally, we give a more detailed treatment of one potential solution with this class, based on our prior work with the Probabilistic Logic Networks (PLN) formalism. We show how PLN can be used to carry out realworld reasoning, by means of a number of practical examples of reasoning regarding human activities inreal-world situations. Codice articolo 9789462390539
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Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference (Atlantis Thinking Machines, 2)
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