A dependent multilabel classification method derived from the k-nearest neighbor rule

Eurasip Journal on Advances in Signal Processing

Volumn 2011, Issue , 2011, Pages

  Younes, Zoulficar ^a   Abdallah, Fahed ^a   Denoeux, Thierry ^a   Snoussi, Hichem ^b  

^a CNRS   (France)

^b UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN VERSION; BENCHMARK DATASETS; BINARY CLASSIFIERS; CLASSIFICATION METHODS; K-NEAREST NEIGHBOR RULES; MULTI-LABEL; NEAREST NEIGHBORS; TRAINING SETS;

EID: 79959252247     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2011/645964     Document Type: Article

References (25)

1. Boutell M. R., Luo J., Shen X., Brown C. M., Learning multi-label scene classification Pattern Recognition 2004 37 9 1757 1771 (Pubitemid 38804465)
2. McCallum A., Multi-label text classification with a mixture model trained by EM Proceedings of the Working Notes of the AAAI Workshop on Text Learning 1999
3. Schapire R. E., Singer Y., BoosTexter: a boosting-based system for text categorization Machine Learning 2000 39 2 135 168 (Pubitemid 30594821)
4. Dumais S. T., Platt J., Heckerman D., Sahami M., Inductive learning algorithms and representation for text categorization Proceedings of the 7th ACM International Conference on Information and Knowledge Management 1998 148 155
5. Gao S., Wu W., Lee C.-H., Chua T.-S., A maximal figure-of-merit learning approach to text categorization Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrievel 2003 174 181
6. Elisseeff A., Weston J., Kernel methods for Multi-labelled classification and categorical regression problems Advances in Neural Information Processing Systems 2002 14 681 687
7. Tsoumakas G., Katakis I., Multi-label classification: an overview International Journal of Data Warehousing and Mining 2007 3 3 1 13
8. Read J., Pfahringer B., Holmes G., Frank E., Classifier chains for multi-label classification 5782 Proceedings of the 20th European Conference on Machine Learning and Knowledge Discovery in Databases 2009 Bled, Slovenia 254 269 Lecture Notes in Computer Science
9. Cheng W., Hllermeier E., Combining instance-based learning and logistic regression for multilabel classification Machine Learning 2009 76 2-3 211 225
10. Zhang M. L., Zhou Z. H., ML-KNN: a lazy learning approach to multi-label learning Pattern Recognition 2007 40 7 2038 2048
11. Younes Z., Abdallah F., Denoeux T., Multi-label classification algorithm derived from k-nearest neighbor rule with label dependencies Proceedings of the 16th European Signal Processing Conference 2008 Eusipco 25 29
12. Younes Z., Abdallah F., Denux T., An evidence-theoretic k-nearest neighbor rule for multi-label classification 5785 Proceedings of the 3rd International Conference on Scalable Uncertainty Management (SUM '09) 2009 Springer 297 308 Lecture Notes in Computer Science
13. Zhang M. L., Ml-rbf: RBF neural networks for multi-label learning Neural Processing Letters 2009 29 2 61 74
14. Denoeux T., Younes Z., Abdallah F., Representing uncertainty on set-valued variables using belief functions Artificial Intelligence 2010 174 7-8 479 499
15. Smets P., Combination of evidence in the transferable belief model IEEE Transactions on Pattern Analysis and Machine Intelligence 1990 12 5 447 458 (Pubitemid 20702887)
16. Jin R., Ghahramani Z., Learning with multiple labels Advances in Neural Information Processing Systems 2003 1540 7 879 904
17. Shen C., Jiao J., Yang Y., Wang B., Multi-instance multi-label learning for automatic tag recommendation Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC '09) October 2009 4910 4914
18. Sutton C., McCallum A., Rohanimanesh K., Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data Journal of Machine Learning Research 2007 8 693 723 (Pubitemid 46491655)
19. Peng F., Schuurmans D., Wang S., Augmenting naive Bayes classifiers with statistical language models Information Retrieval 2004 7 3-4 317 345 (Pubitemid 39046501)
20. Yang Y., An evaluation of statistical approaches to text categorization Journal of Information Retrieval 1999 1 78 88
21. Konstantinos T., Tsoumakas G., Kalliris G., Vlahavas I., Multilabel classification of music into emotions Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR '08) 2008 Philadelphia, Pa, USA
22. Ueda N., Saito K., Parametric mixture models for multi-label text Advances in Neural Information Processing Systems 2003 15 721 728
23. Dudani S. A., The distance-weighted k -nearest neighbor rule IEEE Transactions on Systems, Man and Cybernetics 1976 6 4 325 327
24. Yang Y., Pedersen J. O., A comparative study on feature selection in text categorization Proceedings of the 4th International Conference on Machine Learning 1997 Nashville, Tenn, USA 412 420
25. Petrovskiy M., Paired comparisons method for solving multi-label learning problem Proceedings of the 6th International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence (HIS-NCEI '06) 2006 Auckland, New Zealand IEEE