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CF
2010
ACM
14 years 3 months ago
Interval-based models for run-time DVFS orchestration in superscalar processors
We develop two simple interval-based models for dynamic superscalar processors. These models allow us to: i) predict with great accuracy performance and power consumption under va...
Georgios Keramidas, Vasileios Spiliopoulos, Stefan...
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 10 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
NPL
2006
98views more  NPL 2006»
13 years 10 months ago
Lamb Meat Quality Assessment by Support Vector Machines
The correct assessment of meat quality (i.e., to fulfill the consumer's needs) is crucial element within the meat industry. Although there are several factors that affect the ...
Paulo Cortez, Manuel Portelinha, Sandra Rodrigues,...
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
14 years 4 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...
CHI
2003
ACM
14 years 10 months ago
Combined model for text entry rate development
We combine the power law of learning and theoretical upper limit predictions to describe the development of text entry rates from users' first contact to asymptotic expert us...
Poika Isokoski, I. Scott MacKenzie