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Bayesian network is an uncertainty inference network based on probability. Its structure learning is one of the main research techniques in the field of data mining and knowledge discovering, while constructing Bayesian network structures from data is NP hard. According to the information theory and conditional independence test, a new algorithm is presented for the construction of optimal Bayesian...
China's resource-based enterprises encounter various risks in internationalization, among which cultural risk is one of the most significant risks. This paper attempts to build mathematical risk models with formation mechanism, probability and its impact on international operation to effectively predict, identify and monitor cultural risk of China's resource-based enterprises internationalization,...
Neighbor Discovery is a fundamental building block in Wireless Ad Hoc Networks. But the very nature of wireless mobile networks makes it easy to abuse neighbor discovery, such as the wormhole attack which relaying the HELLO packet between two far away nodes make them establishing the neighborship, and thus disrupting the routing function. In this paper, we present a reputation system for neighbor...
In order to evaluate the optimization efficiency of Genetic Algorithms (GA), this paper presents an efficiency evaluation criterion based on average optimization generation and time efficiency of GA, which not only can avoid infection evaluating the efficiency of GA on random factors commendably, but also consider the time firstly. So that it provides gist of evaluation criterion and theory for selecting...
For the characteristic of scale-free networks, containing a few nodes that have a very high degree and many with low degree,the high connectivity nodes play an important role of hubs in communication and networking. This characteristic can be exploited with designing efficient search algorithms. This paper proposes an algorithm to change each new node connecting to the network based on its high-degree-probability...
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