This paper discusses validation and verification of simulation models. The different approaches to deciding model validity are presented; how model validation and verification rel...
SIMD extension is one of the most common and effective technique to exploit data-level parallelism in today’s processor designs. However, the performance of SIMD architectures i...
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
The success of TURING Test technologies for system validation depends on the quality of the human expertise behind the system. As an additional source of human experts' valid...
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...