The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We address two important issues in causal discovery from nonstationary or heterogeneous data, where parameters associated with a causal structure may change over time or across data sets. First, we investigate how to efficiently estimate the "driving force" of the nonstationarity of a causal mechanism. That is, given a causal mechanism that varies over time or across data sets and whose...
A horizontally inhomogeneous unified microwave radiative transfer (HI-UMRT) model based on nonspherical hydrometeor scattering is being developed at University of Colorado at Boulder to facilitate the forward radiative simulations of transmittivity and reflectivity over 3-dimensional inhomogeneous clouds in severe weather. The HI-UMRT model provides a 3-D radiative intensity solution by incorporating...
Aimed at the problem of low reliability and low significance level in multi-target threat assessment, based on the advantage of Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method which can take maximizing group effect and minimize individual regret into account, setting reasonable decision-making mechanism coefficient, VIKOR is applied to the multi-target threat assessment problems...
The integration of informatization and industrialization (IOII) is a policy guidelines proposed by the Chinese Government to promote the production upgrade and the transformation of economic development mode, which is given increasingly attention by academic circles. In this paper, a brief introduction to IOII is presented. The research collections of IOII required to study the theory and application...
Recommendation systems try to dig out the most relevant data items according to users' interests by means of data mining and machine learning. Currently, content-based recommendation, collaborative filtering, knowledge-based recommendation are most widely used. However, it is difficult to just use one of them to solve all the problems like cold start, data sparseness, over-fitting etc. together. A...
Compared to conventional analysis means, grey relevancy is excellent for its simple, intuitive with less calculation, it is not strict with the size of samples, needs not typical distribution rules, and generally the result of quantitative analysis and qualitative analysis are coincident. It has an outstanding advantage on the analysis of gray system with uncertainty knowledge. This paper applies...
This paper has choosed 579 companys' annual datas as research samples, which were listed in ShenZhen stock exchange in 2009. And it empirically anysised the factors which influence the executive pay level. The results indicated that there was a significant positive correlation between the company performance and the executive pay, and that the effect of the executives' shareholding incentiving on...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.