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73
Regression Error Characteristic CurVes
 Proceedings of the 20th International Conference on Machine Learning
, 2003
"... Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generalize ROC curves to regression. REC curves plot the error tolerance on the xaxis versus the percentage of points predicted wi ..."
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Cited by 35 (0 self)
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Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualizing and comparing classification results. Regression Error Characteristic (REC) curves generalize ROC curves to regression. REC curves plot the error tolerance on the xaxis versus the percentage of points predicted
Regression Error Characteristic Curves
"... Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualiTr ing and comparing classification results. Regression Error Characteristic (REC) curves generalize ROC curves to regression. REC curves plot the error tolerance on the xaxis versus the percentage of points predicte ..."
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Receiver Operating Characteristic (ROC) curves provide a powerful tool for visualiTr ing and comparing classification results. Regression Error Characteristic (REC) curves generalize ROC curves to regression. REC curves plot the error tolerance on the xaxis versus the percentage of points
Boosting for Regression Using Regression Error Characteristic Curves
 In Proceedings of the ICML 2005 Workshop on ROC Analysis in Machine Learning (ROCML
, 2005
"... Boosting is one of the most popular methods for constructing ensembles. The objective of this work is to present a boosting algorithm for regression based on the RegressorBoosting algorithm, in which we propose the use of REC curves in order to select a good threshold value, so that only residuals ..."
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Cited by 1 (1 self)
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Boosting is one of the most popular methods for constructing ensembles. The objective of this work is to present a boosting algorithm for regression based on the RegressorBoosting algorithm, in which we propose the use of REC curves in order to select a good threshold value, so that only residuals
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
"... Abstract. Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regression functions simultaneously in a single graph. The objective of this work is to present a new approach for ..."
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for model selection in ensembles of Neural Networks, in which we propose the use of REC curves in order to select a good threshold value, so that only residuals greater than that value are considered as errors. The algorithm was empirically evaluated and its results were analyzed also by means of REC curves
Applying REC Analysis to Ensembles of SigmaPoint Kalman Filters
"... The SigmaPoint Kalman Filters (SPKF) is a family of filters that achieve very good performance when applied to time series. Currently most researches involving time series forecasting use the SigmaPoint Kalman Filters, however they do not use an ensemble of them, which could achieve a better perfo ..."
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performance. The REC analysis is a powerful technique for visualization and comparison of regression models. The objective of this work is to advocate the use of REC curves in order to compare the SPKF and ensembles of them and select the best model to be used. 1.
Regression Error Characteristic Surfaces
 In Proc. of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'05), ACM
, 2005
"... This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models and can be seen as a generalization of ROC curves to regression problems. REC curves provide useful information for analyzi ..."
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Cited by 7 (1 self)
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This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models and can be seen as a generalization of ROC curves to regression problems. REC curves provide useful information
Melting Curve Analysis of a PCR Product of the recA Gene
, 2000
"... This article cites 20 articles, 17 of which can be accessed free ..."
Research Track Poster 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 and can be seen as a generalization of ROC curves to regression problems. REC curves provide useful information for analyzi ..."
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This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models and can be seen as a generalization of ROC curves to regression problems. REC curves provide useful information
ARITHMETIC OF CURVES
, 2011
"... In this course, we start with very basics of curves and try to reach the theory of their jacobians and at the end, we introduce modular Galois representation a la Eichler–Shimura: (1) Plane curves over a field (elementary, up to Section 3); (2) Scheme/group functor over a ring (a trytobe easy intr ..."
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In this course, we start with very basics of curves and try to reach the theory of their jacobians and at the end, we introduce modular Galois representation a la Eichler–Shimura: (1) Plane curves over a field (elementary, up to Section 3); (2) Scheme/group functor over a ring (a trytobe easy
Probabilistic behavior of a regional envelope curve
"... [1] A regional envelope curve (REC) summarizes the current bound on our experience of extreme floods in a region. Although RECs are available for many regions of the world, their traditional deterministic interpretation limits the use of the curves for design purposes, as magnitude, but not frequenc ..."
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Cited by 2 (1 self)
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[1] A regional envelope curve (REC) summarizes the current bound on our experience of extreme floods in a region. Although RECs are available for many regions of the world, their traditional deterministic interpretation limits the use of the curves for design purposes, as magnitude
Results 1  10
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73