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ICML
2010
IEEE
13 years 11 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
TNN
2010
127views Management» more  TNN 2010»
13 years 5 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
DATE
2009
IEEE
131views Hardware» more  DATE 2009»
14 years 5 months ago
An event-guided approach to reducing voltage noise in processors
Abstract—Supply voltage fluctuations that result from inductive noise are increasingly troublesome in modern microprocessors. A voltage “emergency”, i.e., a swing beyond tol...
Meeta Sharma Gupta, Vijay Janapa Reddi, Glenn H. H...
ISDA
2008
IEEE
14 years 4 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
FAST
2011
13 years 1 months ago
Exploiting Half-Wits: Smarter Storage for Low-Power Devices
This work analyzes the stochastic behavior of writing to embedded flash memory at voltages lower than recommended by a microcontroller’s specifications to reduce energy consum...
Mastooreh Salajegheh, Yue Wang, Kevin Fu, Anxiao J...