A classification approach with a reject option for multi-label problems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6978 LNCS, Issue PART 1, 2011, Pages 98-107

  Pillai, Ignazio ^a   Fumera, Giorgio ^a   Roli, Fabio ^a  

^a UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

Multi label classification; Reject option

Indexed keywords

BENCHMARK DATA; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION APPROACH; IMAGE ANNOTATION; MANUAL ANNOTATION; MULTI-LABEL; REJECT OPTION; REJECTION RATES; RELIABILITY MEASURE; MULTI LABEL CLASSIFICATION; MULTI-LABEL PROBLEMS;

CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; ECONOMIC AND SOCIAL EFFECTS; TEXT PROCESSING;

TEXT PROCESSING; CLASSIFICATION (OF INFORMATION);

EID: 80052974699     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24085-0_11     Document Type: Conference Paper

References (15)

1. Aronson, A., Rogers, W., Lang, F., Névéol, A.: 2008 report to the board of scientific counselors (2008), http://ii.nlm.nih.gov/ IIPublications.shtml
2. Boutell, M.R., Luo, J., Shen, X., Brown, C.M.: Learning multi-label scene classification. Pattern Recognition 37(9), 1757-1771 (2004)
3. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001), software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
4. Chow, C.K.: On optimum recognition error and reject tradeoff. IEEE Transactions in Information Theory 16(1), 41-16 (1970)
5. Fan, R.E., Lin, C.J.: A study on threshold selection for multi-label. Tech. rep., National Taiwan University (2007)
6. Fumera, G., Pillai, I., Roli, F.: Classification with reject option in text categorisation systems. In: Int. Conf. Image Analysis and Proc. (2003)
7. Fumera, G., Pillai, I., Roli, F.: A Two-Stage Classifier with Reject Option for Text Categorisation. In: Structural, Syntactic, and Statistical Patt. Rec. (2004)
8. Lewis, D.D., Schapire, R.E., Callan, J.P., Papka, R.: Training algorithms for linear text classifiers. In: SIGIR, pp. 298-306 (1996)
9. Nowak, S., Huiskes, M.: New strategies for image annotation: Overview of the photo annotation task at imageclef 2010. Working Notes of CLEF 2010 (2010)
10. Pudil, P., Novovicova, J., Blaha, S., Kittler, J.V.: Multistage pattern recognition with reject option. In: ICPR, pp. II:92-II:95 (1992)
11. Ruiz, M., Aronson, A.: User-centered evaluation of the medical text indexing (mti) system (2007), http://ii.nlm.nih.gov/IIPublications.shtml
12. Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1-47 (2002)
13. Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining multi-label data. In: Data Mining and Knowledge Discovery Handbook, pp. 667-685 (2010)
14. Yan, R., Natsev, A., Campbell, M.: An efficient manual image annotation approach based on tagging and browsing. In: Workshop on Multimedia Inf. Retr. on The Many Faces of Multimedia Semantics, pp. 13-20 (2007)
15. Yang, Y.: A study of thresholding strategies for text categorization. In: Int. Conf. on Research and Development in Information Retrieval, New York, USA (2001)