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The performance of a probability inference or forecast can be expressed as the average forecasted probability by computing the geometric mean of the forecasted probabilities. This metric is obtained by transforming the information theoretic measure, commonly known as the logarithmic score or the average surprisal, into the probability domain via application of the exponential function. The average...
This paper assesses the predictability of individual vehicle's mobility in Beijing expressway system using Electronic Toll Collection (ETC) data records. By examining the uncertainties of movements using entropy, considering both the frequencies and sequential correlations of vehicles' trajectories, we draw to the conclusion that the average limit of predictability of expressway vehicles mobility...
Prosodic structure contributes to speech production and comprehension. One of the crucial problems in achieving natural-sounding synthesized speech is the prediction of appropriate phrase boundaries. Unfortunately, obtaining human annotations of prosodic phrases to train a supervised system can be laborious and costly. Active learning has been proven effective in reducing labeling efforts for supervised...
Although the research on traffic prediction is an established field, most existing works have been carried out on traditional wired broadband networks and rarely shed light on cellular radio access networks (CRANs). However, with the explosively growing demand for radio access, there is an urgent need to design a traffic-aware energy-efficient network architecture. In order to realize such a design,...
In cybernetics filed, the benefit of event-triggered control reaches a consensus, but in practice the event-triggered control is hampered by the lack of a system theory. This paper provides a Cyber-Physical System (CPS) viewpoint of the relation between the controller and the physical plant to explain the event detection logic of the event-triggered control. The relation between the controller and...
In this paper, taking the survivability of trusted network as the background, the key issues of network survivability are analyzed. Taking account of the uncertainty, randomness of network system, by introducing cloud model and deterministic finite automation, the status of network system is described and detected in this paper. Based on cloud model, this paper proposes the network system status's...
The cloud model integrates ambiguity, randomness with relationships of the knowledge representation. This paper establishes the normal cloud model to represent membership function. With this method, the problem of unexpected multi-verdict appearing on boundary of membership function is eliminated. By utilizing the fuzzy-c-means clustering algorithm presented in this paper, it is conveniently realized...
In the active learning challenge, we aim to improve the area under the learning curve (ALC), the global score in the challenge, by optimizing the classification methods and feature selection methods, and most importantly by refining the querying algorithm to select the most informative instances in the early iteration of active learning. For six different datasets in the development phase, we applied...
This paper is concerned with information theoretic ??metrics?? for comparing two dynamical systems. Following the recent work of Tryphon Georgiou [1], we outline a prediction (filtering) based approach to do so. Central to the considerations of this paper is the notion of uncertainty. In particular, we compare systems in terms of additional uncertainty that results for the prediction problem with...
Uncertainty is an essential characteristic of intelligence. It has various types and usually each type can be measured in a different way. Thus, it is not helpful for thinking and processing as a whole. In this paper, based on entropy, we discuss the measurement of four common types of uncertainty: randomness, fuzziness, contradiction and dynamic. We present the concept of uncertain entropy and analyze...
In this paper, variable precision rough set theory is introduced to logistics center location problem. Firstly, an index system is built for logistics center location. Secondly, a discretization method for continuous decision table is put forward. In this method, some crisp ldquocutsrdquo are got based on information entropy, and then to be carried out fuzzy operation. In both crisp discrete intervals...
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