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Colleges and universities are increasingly interested in tracking student progress as they monitor and work to improve their retention and graduation rates. Ideally, early indicators of student progress, or lack thereof, can be used to provide appropriate interventions that increase the likelihood of student success. In this paper we present a framework that uses machine learning, and in particular,...
In the paper, a scheme is proposed to predict whether the new employees could match their jobs or not, and discrete interval type-2 fuzzy set on time-varying universe is used for evaluating the experts' view of the employees' performance. The evaluation results are sent into a BP neural network to get the predicted value. Finally, the Markov model is adopted to revise the result and achieve a final...
Prefetching control is a vital operation for the On-demand interactive systems where the instantaneous response is the crucial factor for the system success. The controller in such type of interactive system operates in an uncertain environment and makes sequences of decisions with long and short term stochastic effects. The difficulty, then, is to determine at every system state which contents to...
The prediction of HR supply is an important item of HR management in enterprises. This thesis proposes the prediction method of Markov chain, highlights the relevant principle, and indicates the specific application with instances.
In the paper we present a method for anomaly detection in user's activities utilizing data from unobtrusive sensors. A service for a smart-home environment using this method adapts to behaviour of a user and may provide alarms to a carer or other responsible person if unusual activity is detected. As an unusual activity we consider: long periods of inactivity, lacking activity, unusual presence and...
High dimensionality of belief space in partially observable Markov decision processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. Previous studies have demonstrated that the dimensionality of a POMDP can eventually be reduced by transforming it into an equivalent predictive state representation (PSR). In this paper, we address the problem of finding...
GM(1,1) forecasting model has the advantages of few sample data required, easy calculation, high prediction accuracy in short terms, examination, etc. it is extensively applied in the load forecasting. However, it has its localization. The greater the gray level of data is greater, the lower the prediction precision is. Besides, it is not suitable for long term forecasting of economy to step backwards...
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