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.
Price-to-Book Value (P/B) is an important financial indicator which measures the development potential of a listed company. Studying P/B's influencing factors in the listed real estate companies has both theoretical and practical significance to the sustainable development of national economy. This paper discussed the listed real estate companies in China's stock market from 2008 to 2012, and analyzed...
For the problem of ESN (Echo State Network) input sequence delay time, the choice of embedding dimension D and the adaptability for reservior, by using the autocorrelation analysis from the sample sequence which was predicted constructing ESN network input, and through the prediction of the price fluctuation factor. Use experimental analysis methods to discuss the influence on the selection of parameters...
As digital Libraries and document images largely use in the network, how to retrieve them quickly become one of the key issues. This paper presents a hierarchical matching algorithm to achieve fast retrieval of document images. Firstly, we can quickly find the possible matching location through approximate string matching algorithms, and then, use this location as a reference point in the target image,...
Nowadays, various learning technologies are required on uncertain data. As an important pre-processing step in data mining, feature selection needs to consider this vagueness or uncertainty. In this paper, we propose a novel algorithm to evaluate the correlation between features and uncertain class labels on the basis of Hilbert-Schmidt Independence Criterion. Consequently, the features can be ranked...
Feature selection is among the keys in many applications, especially in mining high-dimensional data. With lack of labeled instances, the learning accuracy may deteriorate using traditional methods. In this paper, we introduce a ldquowrapperrdquo type semi-supervised feature selection approach based on RSC model. It extends the class label from labeled training set to unlabeled data. Additionally,...
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.