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.
A novel method of calculating line loss in transformer district is presented and realized by programming, which is Back Propagation (BP) network model based on Levenberg-Marquardt (LM) algorithm. Establish the characteristic index system according to electric characteristics parameters of samples. The classification of samples by K-Means clustering algorithm solves the numerical dispersion of line...
Text categorization is an important research in nature language process and content analysis. In this paper, we present latent factor SVM (LF-SVM) for text categorization which use latent factor vectors for category representation on text categorization. We prove that latent factors extracted by PLSA (probability latent semantic analysis) can span convex structure to express text category. Based on...
Knowledge management is widely considered to be essential to create sustainable competitive advantages for organizations in today's business environment. Expertise Management, which focuses on tacit knowledge, is one of the most valuable KM applications. It is understandable that expertise management is relatively new area, in some cases it is confused with competency management. Despite of the similarities...
String matching plays a key role in web content monitoring systems. Suffix matching algorithms have good time efficiency, and thus are widely used. These algorithms require that all patterns in a set have the same length. When the patterns cannot satisfy this requirement, the leftmost characters, m being the length of the shortest pattern, are extracted to construct the data structure. We call such...
In traditional medical diagnosis, the aim of using classification learning models is for high diagnosis accuracy. However, accurate class probability estimate is more desirable than prediction accuracy in practical medical diagnosis application. Although several probability estimation models based on decision trees have been adopted in many other areas, they both have an obstacle to achieving accurate...
It is important to extract pattern's feaure and recognize them by proper model in pattern classification. In this paper, we propose the modified LDA to compress the extracted feature, and design the classifier with Precision Constrained Gaussian Model. A series of experiments are offered and the experimental result shows that our PCGM can achieve a much better generalization and MLDA has a better...
ANN using BP is widely used in power load forecasting. But there are some existed problem of the BP algorithm: (1) Convergence speed is slow, usually convergence needs more than one thousand times; (2) Objective function is prone to getting into local minimum.. How to overcome the shortcoming that convergence speed is slow and network is prone to trapping in local minimum has not been resolved. Training...
Linear discriminant analysis (LDA) is a well-known dimension reduction approach, which projects high-dimensional data into a low-dimensional space with the best separation of different classes. In many tasks, the data accumulates over time, and thus incremental LDA is more desirable than batch LDA. Several incremental LDA algorithms have been developed and achieved success; however, the eigen-problem...
As the virus has been spread without restriction, there needs an effective method to detect the virus. After analyzing the current detection methods of the virus, one method, which is on the basis of jump state, is proposed to analyze the malice behavior. From four aspects, such as the element definition, the simple regulation, the formalized description and the mapping-relation description, the formalized...
Dynamical analysis of the current network status is critical to detect large scale intrusions and to ensure the networks to continually function. Collecting and analyzing traffic in real time and reporting the current status in time provide a feasible way. In this paper we used a refined naive Bayes method, naive Bayes kernel estimator (NBKE), to identify flooding attacks and port scans from normal...
Group learning environment (GLE) is library service support to actively participate in learning activities. This article introduces innovative service development of libraries in information age and the need of learning interaction, extensity and cooperation of university readers, explains the necessity of constructing GLE in university libraries, illustrates the composing elements and functions of...
With the rapid evolution of Internet applications, people all over the world are sharing pictures, videos and audios online, and thus, content-based analysis is often demanded. Test efficiency is crucial to the success of online information processing. One obstacle to high-speed testing is the time cost of feature extraction for test objects, particularly for objects with complex representation such...
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.