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Data transmission is the critical issue when dealing with parallel processing systems. As the number of processors increases day by day inside the supercomputers, faults are very common to occur. Therefore, generating node-disjoint paths is the guarantee to sending data from source process to destination process successfully, since single faulty process can affect maximum one path. Beyond selecting...
Traditional algorithms for training the Support Vector Machines (SVMs) have a worst case time complexity of O(n3) and a space complexity of O(n2). This makes it difficult to scale the training algorithm for large scale datasets. In this paper, three algorithms have been proposed for reducing the training dataset. The algorithms mine the potential support vectors based on closeness to decision boundary...
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