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» On improving application utility prediction
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IPM
2007
182views more  IPM 2007»
14 years 10 months ago
A probabilistic music recommender considering user opinions and audio features
A recommender system has an obvious appeal in an environment where the amount of on-line information vastly outstrips any individual’s capability to survey. Music recommendation...
Qing Li, Sung-Hyon Myaeng, Byeong Man Kim
PDP
2010
IEEE
14 years 8 months ago
FTDS: Adjusting Virtual Computing Resources in Threshing Cases
—In the virtual execution environment, dynamic computing resource adjustment technique, configuring the computing resource of virtual machines automatically according to the actu...
Jian Huang, Hai Jin, Kan Hu, Zhiyuan Shao
LCTRTS
2009
Springer
15 years 4 months ago
Guaranteeing instruction fetch behavior with a lookahead instruction fetch engine (LIFE)
Instruction fetch behavior has been shown to be very regular and predictable, even for diverse application areas. In this work, we propose the Lookahead Instruction Fetch Engine (...
Stephen Roderick Hines, Yuval Peress, Peter Gavin,...
AAAI
2008
15 years 12 days ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
NOMS
2010
IEEE
173views Communications» more  NOMS 2010»
14 years 8 months ago
Dynamic resource allocation and power management in virtualized data centers
—We investigate optimal resource allocation and power management in virtualized data centers with time-varying workloads and heterogeneous applications. Prior work in this area u...
Rahul Urgaonkar, Ulas C. Kozat, Ken Igarashi, Mich...