Software systems that rely on the component paradigm build new components by assembling existing prefabricated components. Most currently available IDEs support graphical component...
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-...
With development of knowledge bases (KB) there appeared expert systems that use KBs to support them in decision making process. Decision Support Systems, that are the subject of th...
Krzysztof Goczyla, Aleksander Waloszek, Wojciech W...
An adaptive and iterative LSSVR algorithm based on quadratic Renyi entropy is presented in this paper. LS-SVM loses the sparseness of support vector which is one of the important ...