We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
We present a strategy for model-checking the correctness of service composition. We do so in the context of SRML, a formal modelling framework for service-oriented computing being ...
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
The Vienna Component Framework (VCF) supports the interoperability and composability of components across different component models, a facility that is lacking in existing compon...
Johann Oberleitner, Thomas Gschwind, Mehdi Jazayer...