— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
Three-dimensional Network-on-Chip (3-D NoC) is an emerging research topic exploring the network architecture of 3-D ICs that stack several smaller wafers for reducing wire length ...
Abstract— Today’s complex appliances are plagued by difficultto-use interfaces. In many cases, consumers use only a few of the many features on their appliances because the mor...