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UAI
2008
13 years 6 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
CSDA
2008
73views more  CSDA 2008»
13 years 5 months ago
Self-controlled case series analyses: Small-sample performance
We derive second-order expressions for the asymptotic bias and variance of the log relative incidence estimator for the self-controlled case series method in a simplified scenario...
Patrick Musonda, Mounia N. Hocine, Heather J. Whit...
TEC
2012
197views Formal Methods» more  TEC 2012»
11 years 7 months ago
Improving Generalization Performance in Co-Evolutionary Learning
Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
Siang Yew Chong, Peter Tino, Day Chyi Ku, Xin Yao
MASCOTS
2004
13 years 6 months ago
Performance Engineering with the UML Profile for Schedulability, Performance and Time: A Case Study
We describe the application of a performance engineering methodology based on UML diagrams with annotations taken from the Profile for Schedulability, Performance and Time. The me...
Andrew J. Bennett, A. J. Field
AUTOMATICA
2005
91views more  AUTOMATICA 2005»
13 years 5 months ago
Lyapunov-based continuous-time nonlinear controller redesign for sampled-data implementation
: Given a continuous-time controller and a Lyapunov function that shows global asymptotic stability for the closed loop system, we provide several results for modification of the c...
Dragan Nesic, Lars Grüne