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» Combining Estimators to Improve Performance
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IPPS
2005
IEEE
16 years 19 days ago
Scheduling Algorithms for Effective Thread Pairing on Hybrid Multiprocessors
With the latest high-end computing nodes combining shared-memory multiprocessing with hardware multithreading, new scheduling policies are necessary for workloads consisting of mu...
Robert L. McGregor, Christos D. Antonopoulos, Dimi...
IOPADS
1996
100views more  IOPADS 1996»
15 years 8 months ago
ENWRICH a Compute-Processor Write Caching Scheme for Parallel File Systems
Many parallel scientific applications need high-performance I/O. Unfortunately, end-to-end parallel-I/O performance has not been able to keep up with substantial improvements in p...
Apratim Purakayastha, Carla Schlatter Ellis, David...
BMCBI
2007
157views more  BMCBI 2007»
15 years 7 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
JASIS
2006
96views more  JASIS 2006»
15 years 7 months ago
Learning to classify documents according to genre
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
Aidan Finn, Nicholas Kushmerick
CIKM
2009
Springer
16 years 1 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu