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.
Background Hepatitis C affects about 3 % of the world’s population. In the United States, about 3.5 million have chronic hepatitis C, and it is the leading cause of liver cancer and the most common indication for liver transplantation. In the last decades, new advances in therapy have substantially increased the cure rate of hepatitis C to more than 95% with the use of antiviral agents. However, drug...
Most stream classifiers need to detect and react to concept drifts, as traditional machine learning goes to big data machine learning. The most popular ways to adaptive to concept drifts are incrementally learning and classifier dynamic ensemble. Recent years, ensemble classifiers have become an established research line in this field, mainly due to their modularity which offers a natural way of adapting...
Data mining is a strategic tool that is very difficult for common users to do without special training. Costs will be great to employ specialized people to do the data mining work. In order to resolve this problem, this paper proposes a framework of an automated data mining system based on intelligent agents.
In software engineering, formal software specification has long been touted as a way to increase the quality and reliability of software. At the same time, component-based development (CBD) is an important emerging topic, which aims to compose systems from prebuilt software units or components. How to formally represent the software components supporting the development of real-time application systems...
Patent intelligence is an effective approach that enterprises cluster innovation network realizes through quantitative analysis. The paper builds the operational monitoring methods of enterprises cluster innovation network based on patent information and synthetically applying network and patent map analysis methods, and illustrates operation characteristics and existing problems of cluster innovation...
Let D = (V,A) be a digraph. A kernel of D is an independent set S of vertices such that every vertex of D is either in S or dominates a vertex in S. If every induced subdigraph of D has a kernel, then D is called kernel-perfect. According to Richardson, if a digraph does not contain a directed cycle of odd length then it is kernel-perfect. Here we study the kernel-perfection through use of the push...
Research has shown that many social networks come into being hierarchically based on some basic building blocks called communities, within which the social interactions are very intensive, but between which they are very weak. Network community mining algorithms aim at efficiently and effectively discovering all such communities from a given network. Many related methods have been proposed and applied...
We present a system that detects human falls in the home environment, distinguishing them from competing noise, by using only the audio signal from a single far-field microphone. The proposed system models each fall or noise segment by means of a Gaussian mixture model (GMM) supervector, whose Euclidean distance measures the pairwise difference between audio segments. A support vector machine built...
A new load flow method for large shipboard power system with multiple generators which combined Gauss-Seidel method and forward-backward method is presented. In the proposed method, an shipboard power system is divided into a main power supply network and several radial distribution networks, which are deal with respectively. The forward-backward sweep method is used to solve the power flow for each...
The discrete theory of finite element for curved structures is first introduced and the discrete error is analyzed theoretically. Then, as an illustration, a probe for detecting the pressure inside turboprop is meshed by 3D degenerated shell element with 4 different methods, and the characteristics and adaptive conditions of the methods are discussed. The stress of the probe is numerically calculated...
Q-learning is an effective model-free reinforcement learning algorithm. However, Q-learning is centralized and competent only for single agent learning but not multi-agent learning because in later case the size of state-action space is huge and will grow exponentially with the number of agents increasing. In the paper we present a distributed Q-learning algorithm to solving this problem. In our algorithm,...
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.