Original Contribution: Stacked generalization
Neural Networks
C4.5: programs for machine learning
C4.5: programs for machine learning
Transductive Confidence Machines for Pattern Recognition
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Characterizing Model Erros and Differences
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
C4.5 competence map: a phase transition-inspired approach
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Algorithmic Learning in a Random World
Algorithmic Learning in a Random World
Quality assessment of individual classifications in machine learning and data mining
Knowledge and Information Systems
Theoretical and Experimental Study of a Meta-Typicalness Approach for Reliable Classification
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Generalizing Version Space Support Vector Machines for Non-Separable Data
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
A Tutorial on Conformal Prediction
The Journal of Machine Learning Research
An overview of advances in reliability estimation of individual predictions in machine learning
Intelligent Data Analysis
Version Space Support Vector Machines
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Meta-Typicalness Approach to Reliable Classification
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Transduction with confidence and credibility
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Meta-conformity approach to reliable classification
Intelligent Data Analysis
Transductive reliability estimation for kernel based classifiers
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
k-version-space multi-class classification based on k-consistency tests
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
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This paper considers the problem of constructing classifiers for road side assistance capable of providing reliability values for classifications of individual instances. In this context we analyze the existing approaches to reliable classification based on the conformity framework [16,18,19,27]. As a result we propose an approach that allows the framework to be applied to any type of classifiers so that the classification-reliability values can be computed for each class. The experiments show that the approach outperforms the existing approaches to reliable classification for road side assistance.