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» Nonparametric estimation of the precision-recall curve
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ICPR
2010
IEEE
13 years 5 months ago
The Binormal Assumption on Precision-Recall Curves
—The precision-recall curve (PRC) has become a widespread conceptual basis for assessing classification performance. The curve relates the positive predictive value of a classi...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...
ICML
2009
IEEE
13 years 11 months ago
Nonparametric estimation of the precision-recall curve
The Precision-Recall (PR) curve is a widely used visual tool to evaluate the performance of scoring functions in regards to their capacities to discriminate between two population...
Stéphan Clémençon, Nicolas Va...
ICIP
2002
IEEE
14 years 6 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...

Lecture Notes
564views
15 years 3 months ago
Empirical Finance
These notes cover several topics such as Predicting Asset Returns, Linear Factor Model, Linear Factor Models in SDF Form, Consumption-Based Asset Pricing, Riskneutral Distributions...
Paul Söderlind
CSDA
2006
117views more  CSDA 2006»
13 years 4 months ago
GACV for quantile smoothing splines
Quantile smoothing splines provide nonparametric estimation of conditional quantile functions. Like other nonparametric smoothing techniques, the choice of smoothing parameters co...
Ming Yuan