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.
This paper presents a semi‐automatic method of parameterizing an existing social context cognition model. It discusses benefits of the social context cognition models for example in personality modeling and their key issue that is parametrization. It briefly introduces social context cognition model and describes a new method of its crowd‐sourcing‐based parametrization. Later, validation is provided,...
The increasing number of ontologies and the data that they encapsulate make the process of ontology alignment an essential component of the Semantic Web by providing its inter operability. In recent years, several tools have been developed in order to produce alignments that reflect the correspondence degree between two ontologies to be aligned. The quality of alignments provided by these tools is...
Selecting the right parameters is a vital issue in image processing algorithms. Normally this is done after experimenting with a limited number of pictures, and then one just hopes that the parameters will work adequately with all the other images. Experimenting with the parameters, however, consumes precious human time. In this paper we present a technique that aims at finding the right parametrization...
Selecting the right parameters is a vital issue in image processing algorithms. Normally this is done after experimenting with a limited number of pictures, and then one just hopes that the parameters will work adequately with all the other images. Experimenting with the parameters, however, consumes precious human time. In this paper we present a technique that aims at finding the right parametrization...
Automatic parameterization procedures, which are important components in our latest approach of making transferable and extensible general force fields, were demonstrated by deriving parameters from ab initio and empirical data, and subsequently predicting densities for nine molecular fluids. Excellent agreements with available experimental data were obtained for most of the systems studied. The automated...
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.