Advanced Bayesian Networks with Comparative Probability: A new approach to the theory of probability and its applications to aviation safety and intensive care units - Softcover
Synopsis
The main purpose of this research is to enhance the current procedures of designing decision support systems (DSSs) used by decision-makers to comprehend the current situation better in cases where the available amount of information required to make an informed decision is limited. It has been suggested that the highest level of situation awareness can be achieved by a thorough grasp of particular key elements that, if put together, will synthesize the current status of an environment. The research resulted in a new innovated theory that combines the philosophical comparative approach to probability, the frequency interpretation of probability, dynamic Bayesian networks and the expected utility theory. It enables engineers to write self-learning algorithms that use example of behaviours to model situations, evaluate and make decisions, diagnose problems, and/or find the most probable consequences in real-time.
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About the Author
Dr. Ali Hilal Ali received the PhD degree from the School of Computing and Communication Systems, Lancaster University, Lancaster, UK. His main research interests are Artificial Intelligence, Bayesian Networks, aviation safety and security.
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Advanced Bayesian Networks with Comparative Probability
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ISBN 10: 3659490202
ISBN 13: 9783659490200
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The main purpose of this research is to enhance the current procedures of designing decision support systems (DSSs) used by decision-makers to comprehend the current situation better in cases where the available amount of information required to make an informed decision is limited. It has been suggested that the highest level of situation awareness can be achieved by a thorough grasp of particular key elements that, if put together, will synthesize the current status of an environment. The research resulted in a new innovated theory that combines the philosophical comparative approach to probability, the frequency interpretation of probability, dynamic Bayesian networks and the expected utility theory. It enables engineers to write self-learning algorithms that use example of behaviours to model situations, evaluate and make decisions, diagnose problems, and/or find the most probable consequences in real-time. 280 pp. Englisch. Seller Inventory # 9783659490200
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Advanced Bayesian Networks with Comparative Probability
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ali Ali HilalDr. Ali Hilal Ali received the PhD degree from the School of Computing and Communication Systems, Lancaster University, Lancaster, UK. His main research interests are Artificial Intelligence, Bayesian Networks, aviation . Seller Inventory # 5159513
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Advanced Bayesian Networks with Comparative Probability
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Advanced Bayesian Networks with Comparative Probability
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Advanced Bayesian Networks with Comparative Probability | A new approach to the theory of probability and its applications to aviation safety and intensive care units
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Taschenbuch. Condition: Neu. Advanced Bayesian Networks with Comparative Probability | A new approach to the theory of probability and its applications to aviation safety and intensive care units | Ali Hilal Ali | Taschenbuch | 280 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659490200 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 105514653
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Advanced Bayesian Networks with Comparative Probability
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ISBN 10: 3659490202
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The main purpose of this research is to enhance the current procedures of designing decision support systems (DSSs) used by decision-makers to comprehend the current situation better in cases where the available amount of information required to make an informed decision is limited. It has been suggested that the highest level of situation awareness can be achieved by a thorough grasp of particular key elements that, if put together, will synthesize the current status of an environment. The research resulted in a new innovated theory that combines the philosophical comparative approach to probability, the frequency interpretation of probability, dynamic Bayesian networks and the expected utility theory. It enables engineers to write self-learning algorithms that use example of behaviours to model situations, evaluate and make decisions, diagnose problems, and/or find the most probable consequences in real-time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 280 pp. Englisch. Seller Inventory # 9783659490200
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Advanced Bayesian Networks with Comparative Probability
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ISBN 10: 3659490202
ISBN 13: 9783659490200
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Advanced Bayesian Networks with Comparative Probability : A new approach to the theory of probability and its applications to aviation safety and intensive care units
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659490202
ISBN 13: 9783659490200
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The main purpose of this research is to enhance the current procedures of designing decision support systems (DSSs) used by decision-makers to comprehend the current situation better in cases where the available amount of information required to make an informed decision is limited. It has been suggested that the highest level of situation awareness can be achieved by a thorough grasp of particular key elements that, if put together, will synthesize the current status of an environment. The research resulted in a new innovated theory that combines the philosophical comparative approach to probability, the frequency interpretation of probability, dynamic Bayesian networks and the expected utility theory. It enables engineers to write self-learning algorithms that use example of behaviours to model situations, evaluate and make decisions, diagnose problems, and/or find the most probable consequences in real-time. Seller Inventory # 9783659490200
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