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.
Option pricing problem plays an extremely important role in quantitative finance. In complete market, Black-Scholes-Merton theory has been central to the development of financial engineering as both discipline and profession. However, in an incomplete market, there isn't any replicating portfolios for those options, and thus, we cannot apply the law of one price in order to obtain a unique solution...
Chance discovery is a new research topic on cognition psychology inspired deep data analysis. Scene is the contact point of human process and computer process in the double helical model of chance discovery. Scene aggregation and binary scene aggregation problem are defined in this paper. Binary scene aggregation problem is a NP hard problem in chance discovery. To solve binary scene aggregation problem...
Correlation clustering problem is a NP hard problem and an approach based on self organizing feature map (SOM) neural network for correlation clustering is presented in this paper. Clustering performance of SOM neural network based correlation clustering is test with 20 newsgroups data in UCI KDD archive. Experimental results show that the performance of clustering division constructed by correlation...
Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix for data in the given data set. In this paper, an approach based on genetic algorithm for correlation clustering problem, named as GeneticCC, is presented. To estimate the performance of a clustering division, data correlation...
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.