Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
Abstract. Requirements engineering, the first phase of any software development project, is the Achilles’ heel of the whole development process, as requirements documents are of...
Aspect-Oriented Programming (AOP) has been proposed in literature to overcome modularization shortcomings such as the tyranny of the dominant decomposition. However, the new langu...
This paper deals with compact label-based representations for trees. Consider an n-node undirected connected graph G with a predefined numbering on the ports of each node. The al...
Reuven Cohen, Pierre Fraigniaud, David Ilcinkas, A...
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...