We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
We investigate a generic self-adaptation method to reduce the design effort for System-on-Chip (SoC). Previous self-adaptation solutions at chip-level use circuitries which have b...
Andreas Bernauer, Oliver Bringmann, Wolfgang Rosen...
—Distributed object search is the primary function of Peer-to-Peer (P2P) file sharing system to locate and transfer the file. The predominant search schemes in unstructured P2P...
—We present a practical, market-based solution to the resource provisioning problem in a set of heterogeneous resource clusters. We focus on provisioning rather than immediate sc...
Murray Stokely, Jim Winget, E. Keyes, C. Grimes, B...