To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
This paper introduces an efficient multithreaded synchronous dataflow (SDF) scheduler that can significantly reduce the running time of multi-rate SDF simulations on multiprocesso...
We are proposing a novel method that makes it possible to analyze high dimensional data with arbitrary shaped projected clusters and high noise levels. At the core of our method l...
Amihood Amir, Reuven Kashi, Nathan S. Netanyahu, D...
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
This paper reports the development of the Concerto platform, which is dedicated to supporting the deployment of parallel adaptive components on clusters of workstations. The curre...