Learning a preference relation for information retrieval, Proceedings of the AAAI Workshop Text Categorization and Machine Learning, 1998. ,
Learning to order things, " in NIPS '97: Proceedings of the 1997 conference on Advances in neural information processing systems 10, pp.451-457, 1998. ,
Learning user preferences for sets of objects, Proceedings of the 23rd international conference on Machine learning , ICML '06, pp.273-280, 2006. ,
DOI : 10.1145/1143844.1143879
Advances in Large Margin Classifiers, ch. Large margin rank boundaries for ordinal regression, pp.115-132, 2000. ,
Pranking with ranking, Proceedings of the conference on Neural Information Processing Systems (NIPS), 2001. ,
An efficient boosting algorithm for combining preferences, Journal of Machine Learning Research, vol.4, pp.933-969, 2003. ,
Generalization bounds for the area under the ROC curve, Journal of Machine Learning Research, vol.6, pp.393-425, 2005. ,
Ranking and scoring using empirical risk minimization, Proceedings of COLT 2005, ser. Lecture Notes in Computer Science, pp.1-15, 2005. ,
Generalized Additive Models, 1990. ,
Signal detection theory and psychophysics, 1966. ,
Detection, Estimation, and Modulation Theory, Part I, 1968. ,
DOI : 10.1002/0471221082
Signal Detection Theory and ROC Analysis, 1975. ,
The meaning and use of the area under a ROC curve, Radiology, issue.143, pp.29-36, 1982. ,
Auc optimization vs. error rate minimization, Advances in Neural Information Processing Systems 16, 2004. ,
Optimizing area under roc curve with svms, Proceedings of the First Workshop on ROC Analysis in AI, 2004. ,
Optimizing classifier performance via an approximation to the wilcoxon-mann-whitney statistic, Proceedings of the Twentieth International Conference on Machine Learning, pp.848-855, 2003. ,
Ranking and empirical risk minimization of U-statistics, The Annals of Statistics ,
Classification and Regression Trees, 1984. ,
Learning decision trees using the area under the roc curve, ICML '02: Proceedings of the Nineteenth International Conference on Machine Learning, pp.139-146, 2002. ,
Tree induction for probability-based ranking, Machine Learning, pp.199-215, 2003. ,
An effective tree-based algorithm for ordinal regression, IEEE Intelligent Informatics Bulletin, vol.7, issue.1, pp.22-26, 2006. ,
Ranking the best instances, Journal of Machine Learning Research, vol.8, pp.2671-2699, 2007. ,
A Probabilistic Theory of Pattern Recognition, 1996. ,
DOI : 10.1007/978-1-4612-0711-5
A Distribution-Free Theory of Nonparametric Regression, 2002. ,
DOI : 10.1007/b97848
Constructive Approximation, 1993. ,
Bagging predictors, Machine Learning, pp.123-140, 1996. ,
DOI : 10.1007/BF00058655
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors), The Annals of Statistics, vol.28, issue.2, pp.337-407, 2000. ,
DOI : 10.1214/aos/1016218223
Nonparametric and semiparametric estimation of the receiver operating characteristic curve, The Annals of Statistics, vol.24, issue.1, pp.25-40, 1996. ,
DOI : 10.1214/aos/1033066197