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Along their lif-cycle, Ontologies typically undergo a number of structural operations that might deplete their structural quality. Ontology restructuring is a process of improving that quality by reconsidering the way the knowledge is spread across the class and property hierarchies. This often leads to the discovery of new abstractions whose relevance to the ontology must be assessed. We address...
Developing a precise understanding of the dynamic behavior of time series is crucial for the success of forecasting techniques. We introduce a novel communication-theoretic framework for modeling and forecasting time series. In particular, the observed time series is modeled as the output of a noisy communication system with the input as the future values of time series. We use a data-driven probabilistic...
Two sampling strategies are used for solving an errors-in-variables problem where the system as well as the white measurement noises are of a continuous-time nature. The sampling strategies are integrated sampling, and lowpass filtering followed by instantaneous sampling. Covariance relations are derived and systems of equations are formed for the data obtained from the two sampling strategies, and...
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