This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Abstract. To provide complex query processing in peer-to-peer systems has attracted much attention in both academic and industrial community. We present GChord, a scalable techniqu...
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
Abstract. Similar to the current Web, the key to realizing the Semantic Web is scale. Arguably, to achieve this, we need a good balance between participation cost and perceived ben...
—The central paradigm of today’s successful Internet is to keep the network core simple and move complexity towards the network end points. Unfortunately, this very paradigm li...