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Importance of software maintainability is increasing leading to development of new sophisticated techniques. This paper presents the applications of support vector machine and unsupervised learning in software maintainability prediction using object-oriented metrics. In this paper, the software maintainability predictor is performed. The dependent variable was maintenance effort. The independent variable...
This paper presents a SVM-based prediction approach for constructing personal recommendation system for TV programs. We have applied support vector machine (SVM) to personal prediction of online Internet electronic program guide (IEPG). Our basic idea is to combine SVM and feedback processing into our system, using user-watched histories as retraining data, to realize personal predictions. We evaluate...
Using imitating-natural-reading induced potentials as communication carriers, we are constructing a brain-computer interface based mental speller which enables users to interaction with computers. The carriers were induced in this way: in a trial, sentences consisted of target and non-target symbols were moving smoothly from right to left through a little visual window at the center of computer screen...
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