133 search results - page 9 / 27 » AUC Optimization vs. Error Rate Minimization |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
72
Voted
DATE
2010
IEEE
15 years 2 months ago
2010
IEEE
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
76
Voted
NIPS
2007
14 years 11 months ago
2007
In the online linear optimization problem, a learner must choose, in each round, a decision from a set D ⊂ Rn in order to minimize an (unknown and changing) linear cost function...
VTC
2007
IEEE
15 years 3 months ago
2007
IEEE
— This paper investigates the use of physical layer symbol error rate (SER) optimization to minimize wireless sensor network (WSN) energy consumption. Increasing the SER maintain...
VTS
2005
IEEE
15 years 3 months ago
2005
IEEE
Nanometer circuits are highly susceptible to soft errors generated by alpha-particle or atmospheric neutron strikes to circuit nodes. The reasons for the high susceptibility are t...