: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
This paper describes new machine learning approaches to predict the correct homepage in response to a user's homepage finding query. This involves two phases. In the first ph...
ensitivity has emerged as an excellent context abstraction for points-to analysis in object-oriented languages. Despite its practical success, however, object-sensitivity is poorl...
Yannis Smaragdakis, Martin Bravenboer, Ondrej Lhot...
Reliability is a major requirement for most safety-related systems. To meet this requirement, fault-tolerant techniques such as hardware replication and software re-execution are ...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...
The monitoring and support of university freshmen is considered very important at many educational institutions. In this paper we describe the results of the educational data minin...
Gerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwer...