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2009
ACM
13 years 11 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
CHI
2004
ACM
14 years 4 months ago
Lessons learned using ubiquitous sensors for data collection in real homes
Interface design for the home requires a realistic understanding of the complexity and richness of the human activities that go on there; it is our goal to develop tools that enab...
Jennifer Beaudin, Stephen S. Intille, Emmanuel Mun...
HPDC
2000
IEEE
13 years 8 months ago
Creating Large Scale Database Servers
The BaBar experiment at the Stanford Linear Accelerator Center (SLAC) is designed to perform a high precision investigation of the decays of the B-meson produced from electron-pos...
Jacek Becla, Andrew Hanushevsky
BMCBI
2008
228views more  BMCBI 2008»
13 years 4 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
MSS
1999
IEEE
137views Hardware» more  MSS 1999»
13 years 8 months ago
Overview of a TRW Pilot Program
Recently TRW fielded a prototype system for a government customer. It provides a wide range of capabilities including data collection, hierarchical storage, automated distribution...
William A. Olsen