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In this paper, we propose an efficient algorithm Support Vector Machines with multiple kernels based on Isometric feature mapping(Isomap) in the process of breast cancer classification. We use Wisconsin Diagnostic Breast Cancer (WDBC) as our original data set. The first step, we use Isomap to project high dimensional breast cancer data into a much lower dimensional space. Second, we use SVM with multiple...
Heterogeneous semantic models have been introduced to represent knowledge of interpreting the semantics of Web information, as well as semantic information on the Web. In this paper, the current semantic representation models are introduced firstly. After comparative analysis of the advantages and disadvantages between those models, this paper illustrated the deficiencies among those models. Then...
In order to improve the performance of the existing recognition methods of pests, the limitations of these methods are analyzed in this paper. Based on the analysis, the novel recognition method of pests by using compressive sensing theory is presented in this paper. In the proposed method, a large number of representative training samples of pests are used to construct the training samples matrix,...
In artificial neural network(ANN)method, the information treatment of the network are finished through interaction of neurones of the network. There are a series of advantages in the methodology, such as high degree non-linear, self-adaptation, self-learning, etc. Therefore the ANN method is used widely in the fields of prediction of physical quantities. In most cases, seepage equations show strong...
Effective e-learning ought to pay attention to its presentation mode first. In this paper, it stars from the instruction and research experiences of "photoshop image manipulation " network course, guideline by the transfer learning theory, in the perspective of cultivating students' transfer capacity, then explores presentation mode under e-Learning environment, at last it concludes different...
Support vector machine is an algorithm based on structural risk minimization, which has good generalization performance. In the course of multi-sensor information fusion of industrial control, sensor has bigger nonlinearity and fuzzy relation between coefficient and relevant parameter. This paper proposed an algorithm of multi-sensor information fusion based on support vector machine, which offered...
The term of blended learning was coming to the field since 2001 for replacing the traditional E-learning. This paper investigates the way of how to integrate the idea of blended learning into the practice of teacherspsila professional development. The issues discussed in the paper include our pilot study, principles, and content modules with learning method and training implement programs. The educational...
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