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The integrative approach of systems biology promises a better understanding of complex phenotypes such as cardiovascular disease, diabetes or chronic obstructive pulmonary disease (COPD). It aims to interconnect current knowledge with experimental data, in-silico analysis and simulation. To this end the existing knowledge must be semantically integrated in a single environment and dynamically organised...
Based on rough set theory, this paper presents the single element medium and long-term classification forecast model which uses historical data of a hydrologic series as forecast factors. The minimal rule set, i.e., forecast pattern set, is achieved according to the principle of maximal attribute significance and rules frequency. Maximal support strength is put forward and applied to predict by using...
The theory of connection has been used to solve many problems in engineering. economics, and in management; in this paper, firstly, the theory of connection is introduced. Secondly, a new toolbox of functions for modeling and simulation is presented. Thirdly, the theory is used to solve a planning and scheduling problem with the help of the toolbox of functions. The scope of this paper is limited...
Model driven engineering (MDE) has to deal with an increasing number of interrelated modelling artifacts. The model driven performance engineering (MDPE) process is one concrete illustration of such a situation. This process applies MDE within the context of performance engineering in order to support domain experts, who generally lack the necessary performance expertise. In this paper, we demonstrate...
Biased estimation has the advantage of reducing the mean squared error (MSE) of an estimator. The question of interest is how biased estimation affects model selection. In this paper, we introduce biased estimation to a range of model selection criteria. Specifically, we analyze the performance of the minimum description length (MDL) criterion based on biased and unbiased estimation and compare it...
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