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2010
Tsinghua U.
15 years 7 months ago
Distribution-Specific Agnostic Boosting
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...
Vitaly Feldman
ALT
2006
Springer
15 years 6 months ago
Learning Linearly Separable Languages
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...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
SASO
2009
IEEE
15 years 4 months ago
Generic Self-Adaptation to Reduce Design Effort for System-on-Chip
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...
INFOCOM
2009
IEEE
15 years 4 months ago
Budget-Based Self-Optimized Incentive Search in Unstructured P2P Networks
—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...
Yi Hu, Min Feng, Laxmi N. Bhuyan, Vana Kalogeraki
79
Voted
IPPS
2009
IEEE
15 years 4 months ago
Using a market economy to provision compute resources across planet-wide clusters
—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...