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» A Methodology for Extending Focusing Frameworks
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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
DAC
2008
ACM
15 years 10 months ago
Partial order reduction for scalable testing of systemC TLM designs
A SystemC simulation kernel consists of a deterministic implementation of the scheduler, whose specification is nondeterministic. To leverage testing of a SystemC TLM design, we f...
Sudipta Kundu, Malay K. Ganai, Rajesh Gupta
RECOMB
2001
Springer
15 years 10 months ago
Towards predicting coiled-coil protein interactions
Protein-protein interactions play a central role in many cellular functions, and as whole-genome data accumulates, computational methods for predicting these interactions become i...
Mona Singh, Peter S. Kim
IPPS
2009
IEEE
15 years 4 months ago
Exploring the multiple-GPU design space
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s...
Dana Schaa, David R. Kaeli
KBSE
2007
IEEE
15 years 4 months ago
Extracting rights and obligations from regulations: toward a tool-supported process
Security, privacy and governance are increasingly the focus of government regulations in the U.S., Europe and elsewhere. This trend has created a “regulation compliance” probl...
Nadzeya Kiyavitskaya, Nicola Zeni, Travis D. Breau...