We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
— In this paper, an efficient linear time algorithm TACO is proposed for the first time to minimize the worst case clock skew in the presence of on-chip thermal variation. TACO...
A heuristic algorithm that maps data-processing tasks onto heterogeneous resources (i.e., processors and links of various capacities) is presented. The algorithm tries to achieve ...
Processing on the Amoeba distributed operating system is not fault-tolerant. The only concern of its processing service is to perform load balancing on the existing processors, tr...
The paper focusses on the logical backgrounds of the Dijkstra-Scholten program development style for correct programs. For proving the correctness of a program (i.e. the fact that...