Analysis of Error-Reject Trade-off in Linearly Combined Classifiers
نویسندگان
چکیده
In this paper, a framework for the analysis of the error-reject trade-off in linearly combined classifiers is proposed. We start from a framework developed by Tumer and Ghosh [1,2]. We extend this framework and analyse some hypotheses under which the linear combination of classifier outputs can improve the error-reject trade-off of the individual classifiers. Experiments that support some of the analytical results are reported.
منابع مشابه
Error Rejection in Linearly Combined Multiple Classifiers
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,13] is extended for handling reject option and the optimality of the error-reject trade-off is analysed under the assumption of independence among the errors of the individual classifiers. Improvements of the error-rej...
متن کاملAnalysis of error-reject trade-off in linearly combined multiple classifiers
In this paper, a theoretical and experimental analysis of the error-reject trade-off achievable by linearly combining the outputs of an ensemble of classifiers is presented. To this aim, the theoretical framework previously developed by Tumer and Ghosh for the analysis of the simple average rule without the reject option has been extended. Analytical results that allow to evaluate the improveme...
متن کاملMultiple Reject Thresholds for Improving Classification Reliability
In pattern recognition systems, Chow’s rule is commonly used to reach a trade-off between error and reject probabilities. In this paper, we investigate the effects of estimate errors affecting the a posteriori probabilities on the optimality of Chow’s rule. We show that the optimal error-reject tradeoff is not provided by Chow’s rule if the a posteriori probabilities are affected by errors. The...
متن کاملExploring the Trade Openness, Energy Consumption and Economic Growth Relationship in Iran by Bayer and Hanck Combined Cointegration and Causality Analysis
This paper aims to investigate the direction of causality between economic growth, energy consumption and trade openness in case of Iran for the period 1967–2012. We apply the newly developed combined cointegration test proposed by Bayer and Hanck (2013). Vector Error Correction Model (VECM) is applied to determine the direction of causality between these three variables. The result of Bayer-Ha...
متن کاملReject option with multiple thresholds
can be obtained using the so-called “reject” option. Namely, the patterns that are the most likely to be misclassified are rejected (i.e., they are not classified); they are then handled by more sophisticated procedures (e.g., a manual classification is performed). However, handling high reject rates is usually too time-consuming for application purposes. Therefore, a trade-off between error an...
متن کامل