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ICML
2003
IEEE
14 years 5 months ago
Regression Error Characteristic Curves
Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generaliz...
Jinbo Bi, Kristin P. Bennett
ESANN
2006
13 years 6 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 5 months ago
Regression error characteristic surfaces
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
Luís Torgo
NIPS
2001
13 years 6 months ago
A Variational Approach to Learning Curves
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
Dörthe Malzahn, Manfred Opper
ICIP
1995
IEEE
14 years 6 months ago
Constrained monotone regression of ROC curves and histograms using splines and polynomials
Receiver operating characteristics (ROC) curves have the property that they start at (0,l) and end at (1,O) and are monotonically decreasing. Furthermore, a parametric representat...
Tapas Kanungo, D. M. Gay, Robert M. Haralick