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NIPS
2003
14 years 11 months ago
Margin Maximizing Loss Functions
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
Saharon Rosset, Ji Zhu, Trevor Hastie
ENGL
2008
133views more  ENGL 2008»
14 years 9 months ago
Cycle Time Forecasting Models for Defect Inspection Process in TFT-LCD Module Assembly
Because most of the procedures in defect inspection process of TFT-LCD module assembly are examined manually through human vision, cycle time estimation for this particular process...
Chien-wen Shen
SIGPRO
2010
111views more  SIGPRO 2010»
14 years 4 months ago
Semi-supervised speaker identification under covariate shift
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
ISI
2004
Springer
15 years 3 months ago
Spatial Forecast Methods for Terrorist Events in Urban Environments
Abstract. Terrorist events such as suicide bombings are rare yet extremely destructive events. Responses to such events are even rarer, because they require forecasting methods for...
Donald Brown, Jason Dalton, Heidi Hoyle
ICML
2007
IEEE
15 years 10 months ago
Discriminative learning for differing training and test distributions
We address classification problems for which the training instances are governed by a distribution that is allowed to differ arbitrarily from the test distribution--problems also ...
Michael Brückner, Steffen Bickel, Tobias Sche...