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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
KDD
2006
ACM
272views Data Mining» more  KDD 2006»
15 years 10 months ago
YALE: rapid prototyping for complex data mining tasks
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Mar...
ATAL
2009
Springer
15 years 4 months ago
Reasoning intra-dependency in commitments for robust scheduling
Commitment-modeled protocols enable flexible and robust interactions among agents. However, existing work has focused on features and capabilities of protocols without considerin...
Mingzhong Wang, Kotagiri Ramamohanarao, Jinjun Che...
IEEEPACT
2008
IEEE
15 years 4 months ago
Multi-optimization power management for chip multiprocessors
The emergence of power as a first-class design constraint has fueled the proposal of a growing number of run-time power optimizations. Many of these optimizations trade-off power...
Ke Meng, Russ Joseph, Robert P. Dick, Li Shang
CCGRID
2006
IEEE
15 years 3 months ago
Proposal of MPI Operation Level Checkpoint/Rollback and One Implementation
With the increasing number of processors in modern HPC(High Performance Computing) systems, there are two emergent problems to solve. One is scalability, the other is fault tolera...
Yuan Tang, Graham E. Fagg, Jack Dongarra