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The paper is about how to evaluate the intelligent knowledge. We think that the criteria is not only distinguishing ability and accuracy of the algorithm, but also algorithm robustness, stability and so on. Besides positive characters listed above, a fair evaluation system of intelligent knowledge should also include negative characters, such as storage space, running time, training and testing time...
Accurate and fast identification of network traffic is an important element of many network management tasks such as QoS provisioning and security monitoring. However, as many newly-emerged Peer-to-Peer (P2P) applications using dynamic port numbers, masquerading techniques, and payload encryption to avoid detection, the classical approaches based on port mapping and payload analysis are ineffective...
An Improved Algorithm for Incremental Learning LEARN++ is proposed. Based on the LEARN++ algorithm, The Improved Algorithm modifies instances selection technique in Boosting and provides an effective method of selecting the individual networks. The Algorithm allows the new classifiers trained with new database to learn past knowledge reducing the forgetfulness , and ensures generalization performance...
In order to mine the hidden knowledge, and solve the problem of ldquodata is superfluous but knowledge is sparerdquo, data mining is used widely. Data classification is an important task of data mining, which has been at the center of research interest in recent years. The research of this paper is on classification. Starting from fuzzy KNN classification method, based on the idea of cluster before...
Armor vehicles have traditionally been protected by the armor based on steel. This gives rise to extremely heavy structures which produce logistic problems due to the need to transport the vehicle to a battle field. Many kinds of technique have been developed to meet this change. A new concept - active electromagnetic protection system (AEMPS) has the advantages of short trigger delay time, good controllability,...
Geostationary imagers such as the Advanced Baseline Imager (ABI) proposed for the next generation of Geostationary Operational Environmental Satellites (GOESs), i.e., GOES Series R and beyond, and the spinning enhanced visible and InfraRed Imager (SEVIRI) onboard METEOSAT 8 provide atmospheric total column ozone (TCO) with high temporal (better than 15 min) and spatial (better than 5 km) resolutions...
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