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ESANN
2007
13 years 10 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
VEE
2010
ACM
204views Virtualization» more  VEE 2010»
13 years 8 months ago
Energy-efficient storage in virtual machine environments
Current trends in increasing storage capacity and virtualization of resources combined with the need for energy efficiency put a challenging task in front of system designers. Pre...
Lei Ye, Gen Lu, Sushanth Kumar, Chris Gniady, John...
WINET
2008
200views more  WINET 2008»
13 years 8 months ago
Performance evaluation of an IEEE 802.15.4 sensor network with a star topology
One class of applications envisaged for the IEEE 802.15.4 LR-WPAN (low data rate - wireless personal area network) standard is wireless sensor networks for monitoring and control a...
Chandramani Kishore Singh, Anurag Kumar, P. M. Ame...
INTERNET
2002
142views more  INTERNET 2002»
13 years 8 months ago
Mapping the Gnutella Network
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2...
Matei Ripeanu, Adriana Iamnitchi, Ian T. Foster
ISCA
2011
IEEE
333views Hardware» more  ISCA 2011»
13 years 2 days ago
The impact of memory subsystem resource sharing on datacenter applications
In this paper we study the impact of sharing memory resources on five Google datacenter applications: a web search engine, bigtable, content analyzer, image stitching, and protoc...
Lingjia Tang, Jason Mars, Neil Vachharajani, Rober...