منابع مشابه
FlexDiag: anytime diagnosis for reconfiguration
Anytime diagnosis is able to determine solutions within predefined time limits. This is especially useful in realtime scenarios such as production scheduling, robot control, and communication networks management where diagnosis and corresponding reconfiguration capabilities play a major role. Anytime diagnosis in many cases comes along with a tradeoff between diagnosis quality and the efficienc...
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Knowledge-based configuration is a successful application domain for AI techniques. An open issue in many practical domains is that of reconfiguration, typically exhibited by legacy systems that are to be extended, upgraded or simply altered. We discuss the use of a diagnosis approach to reconfiguration. We present the differing application and representation requirements, develop a representat...
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Many satellite anomalies manifest themselves slowly over time and go undetected until they reach critical and possibly unrecoverable status. Because modern satellite systems are relatively reliable, the ground controller must perform the almost impossible task of attending carefully over long periods of time to telemetry readouts which almost always indicate nominal operation, while maintaining...
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Lars the Untouchable Crime-fighter, and Aimee the Architect iv ACKNOWLEDGMENT This thesis is dedicated to my parents and siblings who have always supported me throughout my academic endevors with love, support, and understanding. patience and enthusiasm throughout my academic career at Georgia Tech. He is a father figure to many of us far from home. I would also like to express my thanks to Dr....
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Many on-line applications of machine learning require that the learned classifiers complete classification within strict real-time constraints. In consequence, efficient classifiers such as naive Bayes (NB) are often employed that can complete the required classification tasks even under peak computational loads. While NB provides acceptable accuracy, more computationally intensive approaches c...
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ژورنال
عنوان ژورنال: Journal of Intelligent Information Systems
سال: 2018
ISSN: 0925-9902,1573-7675
DOI: 10.1007/s10844-017-0492-1