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Support vector machine (SVM) constructs an optimal hyperplane utilizing a small set of vectors near boundary. The proximal SVM is an extremely simple procedure to generate linear and nonlinear classifier based on proximity to one of two parallel planes that are separated as far as possible. However, when the two-class are very unbalanced, the proximal SVM tends to fit better the class with more samples...
For academic scientists, it is not satisfy to meet their researches requirements only finding out the basic scientific research activities recent years. The future of research in this field, evolution of the hot spot and the research front of relevant fields has the same Ref. value for current field researching. To solve these problems, we use inspiration discovery method by mining and clustering...
This paper proposes a cloud service model that centers around customer business requirements. The model covers the customers' subscribed services and the service providers' offered cloud services. It covers the relationship among offering versus subscription, cloud infrastructure service versus cloud application service, configuration versus customization of cloud services, etc. It then depicts a...
Reconfigurable turn-milling machine tool is the cooperative product of reconfigurable machine tool technology and turn-miling process. With the quick reconfiguration of different modules, the machine tool can adjust to produce a part family in a lower cost and higher efficience. The method and process of designing turn-milling RMT is discussed in this paper. Using commercial off the shelf (COTS) method,...
To demonstrate the influence of biological and chemical conditions on the formation of aerobic granules, a comparative study was conducted in three parallel SBRs(Sequencing Batch Reactors) by inoculating different seeding sludge and cultivating them with different carbon sources, the effects of seeding sludge characteristics and carbon sources of raw water were evaluated. After initiation, granulation...
For real-time visualization of the mouse heart (6 to 13 beats per second), a back-end processing system involving high-speed signal processing functions to form and display images has been developed. This back-end system was designed with new signal processing algorithms to achieve a frame rate of more than 400 images per second. These algorithms were implemented in a simple and cost-effective manner...
The partitioning or clustering method is an important research branch in data mining area, and it partitions the dataset into an arbitrary number k of clusters according to the correlation attribute of all elements of the dataset. Most datasets have the original clusters number, which is estimated with cluster validity index. But most current cluster validity index methods give the error estimation...
The partition of discrete numerical interval is the foundation of discrete numerical data mining, and its research is significant in application. A new method for the partition of discrete numerical interval is proposed here. In the method the original samples are preprocessed, and then the local outlier coefficient of each data calculated. Eventually, the discrete numerical interval is partitioned...
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