April 2011
Sample reduction using recursive and segmented data structure analysis
Support vector machine (SVM) is one of the widely used machine learning algorithms because of its salient features such as margin maximization and kernel substitution for classification and regression of data in a high dimensional feature space. But SVMs still face difficulties in handling large datasets. This difficulty is because of solving quadratic programming problems in SVMs which is costly, especially...
April 2011
Hybrid mixed handover for call blocking probability analysis in wireless ATM network
This paper focuses on the problem of congestion control in wireless ATM network based on new Hybrid Scheme proposed by the authors to solve the hand off/hand over problem in ATM-based PCN, which aims to give handover calls high priority over new calls. It presents a non-disruptive handoff protocol with dynamic channel reservation for wireless ATM networks. The analytical results are verified by a simulation...
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