{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T05:34:37Z","timestamp":1782970477526,"version":"3.54.5"},"reference-count":42,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2006,4,1]],"date-time":"2006-04-01T00:00:00Z","timestamp":1143849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Inf. Syst."],"published-print":{"date-parts":[[2006,4]]},"abstract":"<jats:p>\n            We propose a maximal figure-of-merit (MFoM)-learning approach for robust classifier design, which directly optimizes performance metrics of interest for different target classifiers. The proposed approach, embedding the decision functions of classifiers and performance metrics into an overall training objective, learns the parameters of classifiers in a decision-feedback manner to effectively take into account both positive and negative training samples, thereby reducing the required size of positive training data. It has three desirable properties: (a) it is a performance metric, oriented learning; (b) the optimized metric is consistent in both training and evaluation sets; and (c) it is more robust and less sensitive to data variation, and can handle insufficient training data scenarios. We evaluate it on a text categorization task using the Reuters-21578 dataset. Training an F\n            <jats:sub>1<\/jats:sub>\n            -based binary tree classifier using MFoM, we observed significantly improved performance and enhanced robustness compared to the baseline and SVM, especially for categories with insufficient training samples. The generality for designing other metrics-based classifiers is also demonstrated by comparing precision, recall, and F\n            <jats:sub>1<\/jats:sub>\n            -based classifiers. The results clearly show consistency of performance between the training and evaluation stages for each classifier, and MFoM optimizes the chosen metric.\n          <\/jats:p>","DOI":"10.1145\/1148020.1148022","type":"journal-article","created":{"date-parts":[[2006,10,18]],"date-time":"2006-10-18T18:11:32Z","timestamp":1161195092000},"page":"190-218","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":30,"title":["A maximal figure-of-merit (MFoM)-learning approach to robust classifier design for text categorization"],"prefix":"10.1145","volume":"24","author":[{"given":"Sheng","family":"Gao","sequence":"first","affiliation":[{"name":"Institute for Infocomm Research, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Wu","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chin-Hui","family":"Lee","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, GA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tat-Seng","family":"Chua","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2006,4]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1109\/5.880084","article-title":"Exploiting latent semantic information in statistical language modeling","volume":"88","author":"Bellegarda J. R.","year":"2000","unstructured":"Bellegarda , J. R. 2000 . Exploiting latent semantic information in statistical language modeling . Proc. IEEE. 88 , 8, 1279 -- 1296 . Bellegarda, J. R. 2000. Exploiting latent semantic information in statistical language modeling. Proc. IEEE. 88, 8, 1279--1296.","journal-title":"Proc. IEEE."},{"key":"e_1_2_1_2_1","volume-title":"et al","author":"Berry M.","year":"1993","unstructured":"Berry , M. et al . 1993 . SVDPACKC (Version 1.0) User's Guide. University of Tennessee Tech . Rep. CS-93--194. Berry, M. et al. 1993. SVDPACKC (Version 1.0) User's Guide. University of Tennessee Tech. Rep. CS-93--194."},{"key":"e_1_2_1_3_1","unstructured":"Breiman L. Friedman J. H. Olshen R. A. and Stone C. J. 1984. Classification and Regression Trees. Wadsworth Belmont CA.  Breiman L. Friedman J. H. Olshen R. A. and Stone C. J. 1984. Classification and Regression Trees. Wadsworth Belmont CA."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022607123649"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 292--300","author":"Buckley C.","unstructured":"Buckley , C. , Salton , G. , and Allan , J . 1994. The effect of adding relevance information in a relevance feedback environment . In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 292--300 . Buckley, C., Salton, G., and Allan, J. 1994. The effect of adding relevance information in a relevance feedback environment. In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 292--300."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022627411411"},{"key":"e_1_2_1_7_1","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","article-title":"Indexing by latent semantic analysis","volume":"41","author":"Deerwester S.","year":"1990","unstructured":"Deerwester , S. , Dumais , S. T. , Furnas , G. W. , Landauer , T. K. , and Harshman , R. 1990 . Indexing by latent semantic analysis . J. American Society Inf. Sci. 41 , 6, 391 -- 407 . Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., and Harshman, R. 1990. Indexing by latent semantic analysis. J. American Society Inf. Sci. 41, 6, 391--407.","journal-title":"J. American Society Inf. Sci."},{"key":"e_1_2_1_8_1","volume-title":"Proceedings of the 23rd European Colloquium on Information Retrieval Research, 126--135","author":"Denoyer L.","unstructured":"Denoyer , L. , Zaragoza , H. , and Gallinari , P . 2001. HMM-Based passage models for document classification and ranking . In Proceedings of the 23rd European Colloquium on Information Retrieval Research, 126--135 . Denoyer, L., Zaragoza, H., and Gallinari, P. 2001. HMM-Based passage models for document classification and ranking. In Proceedings of the 23rd European Colloquium on Information Retrieval Research, 126--135."},{"key":"e_1_2_1_9_1","unstructured":"Duda R. O. Hart P. E. and Stork D. 2001. Pattern Classification 2nd ed. Wiley-Interscience New York.   Duda R. O. Hart P. E. and Stork D. 2001. Pattern Classification 2nd ed. Wiley-Interscience New York."},{"key":"e_1_2_1_11_1","volume-title":"ICML'03","author":"Flach P. A.","year":"2003","unstructured":"Flach , P. A. 2003 . The geometry of ROC space: understanding machine learning metrics through ROC isometrics . ICML'03 . Flach, P. A. 2003. The geometry of ROC space: understanding machine learning metrics through ROC isometrics. ICML'03."},{"key":"e_1_2_1_12_1","volume-title":"Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.","author":"Gao S.","unstructured":"Gao , S. , Wu , W. , Lee , C. H. , and Chua , T. S . 2003. A maximal figure-of-merit learning approach to text categorization . In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ( Toronto, Canada), 17--18. 10.1145\/860435.860469 Gao, S., Wu, W., Lee, C. H., and Chua, T. S. 2003. A maximal figure-of-merit learning approach to text categorization. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. (Toronto, Canada), 17--18. 10.1145\/860435.860469"},{"key":"e_1_2_1_13_1","volume-title":"Proceedings of the 21st Annual International Conference on Machine Learning","author":"Gao S","unstructured":"Gao , S , Wu , W. , Lee , C. H. , and Chua , T. S . 2004. An MFoM learning approach to robust multiclass multilabel text categorization . In Proceedings of the 21st Annual International Conference on Machine Learning ( Banff, Canada). 10.1145\/1015330.1015361 Gao, S, Wu, W., Lee, C. H., and Chua, T. S. 2004. An MFoM learning approach to robust multiclass multilabel text categorization. In Proceedings of the 21st Annual International Conference on Machine Learning (Banff, Canada). 10.1145\/1015330.1015361"},{"key":"e_1_2_1_14_1","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1109\/72.165594","article-title":"Classification trees with neural network feature extraction","volume":"3","author":"Guo H.","year":"1992","unstructured":"Guo , H. and Gelfand , S. B. 1992 . Classification trees with neural network feature extraction . IEEE Trans. Neural Netw. 3 , 6, 923 -- 933 . Guo, H. and Gelfand, S. B. 1992. Classification trees with neural network feature extraction. IEEE Trans. Neural Netw. 3, 6, 923--933.","journal-title":"IEEE Trans. Neural Netw."},{"key":"e_1_2_1_15_1","volume-title":"Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 50--57","author":"Hofmann T.","year":"1999","unstructured":"Hofmann , T. 1999 . Probabilistic latent semantic indexing . In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 50--57 . 10.1145\/312624.312649 Hofmann, T. 1999. Probabilistic latent semantic indexing. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 50--57. 10.1145\/312624.312649"},{"key":"e_1_2_1_16_1","volume-title":"Proceedings of the 14th International Conference on Machine Learning, 143--151","author":"Joachims T.","year":"1997","unstructured":"Joachims , T. 1997 . A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization . In Proceedings of the 14th International Conference on Machine Learning, 143--151 . Joachims, T. 1997. A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In Proceedings of the 14th International Conference on Machine Learning, 143--151."},{"key":"e_1_2_1_17_1","volume-title":"Proceedings of the 10th European Conference on Machine Learning, 137--142","author":"Joachims T.","year":"1998","unstructured":"Joachims , T. 1998 . Text categorization with support vector machines: Learning with many relevant features . In Proceedings of the 10th European Conference on Machine Learning, 137--142 . Joachims, T. 1998. Text categorization with support vector machines: Learning with many relevant features. In Proceedings of the 10th European Conference on Machine Learning, 137--142."},{"key":"e_1_2_1_18_1","volume-title":"Learning to Classify Text Using Support Vector Machines","author":"Joachims T.","unstructured":"Joachims , T. 2002. Learning to Classify Text Using Support Vector Machines . Kluwer Academic , Hingharn, MA . Joachims, T. 2002. Learning to Classify Text Using Support Vector Machines. Kluwer Academic, Hingharn, MA."},{"key":"e_1_2_1_19_1","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1109\/89.568732","article-title":"Minimum classification error rate methods for speech recognition","volume":"5","author":"Juang B.-H.","year":"1997","unstructured":"Juang , B.-H. , Chou , W. , and Lee , C.-H. 1997 . Minimum classification error rate methods for speech recognition . IEEE Trans. Speech Audio Processing , 5 , 2, 257 -- 265 . Juang, B.-H., Chou, W., and Lee, C.-H. 1997. Minimum classification error rate methods for speech recognition. IEEE Trans. Speech Audio Processing, 5, 2, 257--265.","journal-title":"IEEE Trans. Speech Audio Processing"},{"key":"e_1_2_1_20_1","doi-asserted-by":"crossref","first-page":"2345","DOI":"10.1109\/5.726793","article-title":"Pattern recognition using a family of design algorithm based upon the generalized probabilistic descent method","volume":"86","author":"Katagiri S.","year":"1998","unstructured":"Katagiri , S. , Juang , B.-H. , and Lee , C.-H. 1998 . Pattern recognition using a family of design algorithm based upon the generalized probabilistic descent method . Proc. IEEE , 86 , 11, 2345 -- 2373 . Katagiri, S., Juang, B.-H., and Lee, C.-H. 1998. Pattern recognition using a family of design algorithm based upon the generalized probabilistic descent method. Proc. IEEE, 86, 11, 2345--2373.","journal-title":"Proc. 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On adaptive decision rules and decision parameter adaptation for automatic speech recognition . Proc. IEEE 88 , 8, 1241 -- 1269 . Lee, C.-H. and Huo, Q. 2000. On adaptive decision rules and decision parameter adaptation for automatic speech recognition. Proc. IEEE 88, 8, 1241--1269.","journal-title":"Proc. IEEE"},{"key":"e_1_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Lee C.-H. Soong F. K. and Paliwal K. K. 1996. Automatic Speech and Speaker Recognition: Advanced Topics. Kluwer Academic Boston MA.   Lee C.-H. Soong F. K. and Paliwal K. K. 1996. Automatic Speech and Speaker Recognition: Advanced Topics. Kluwer Academic Boston MA.","DOI":"10.1007\/978-1-4613-1367-0"},{"key":"e_1_2_1_24_1","volume-title":"Proceedings of the 3rd Annual Symposium on Document Analysis and Information Retrieval, 81--93","author":"Lewis D.","unstructured":"Lewis , D. and Ringuette , M . 1994. A comparison of two learning algorithms for text categorization . In Proceedings of the 3rd Annual Symposium on Document Analysis and Information Retrieval, 81--93 . Lewis, D. and Ringuette, M. 1994. A comparison of two learning algorithms for text categorization. In Proceedings of the 3rd Annual Symposium on Document Analysis and Information Retrieval, 81--93."},{"key":"e_1_2_1_25_1","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1093\/comjnl\/41.8.537","article-title":"Classification of text documents","volume":"41","author":"Li Y. H.","year":"1998","unstructured":"Li , Y. H. and Jain , A. K. 1998 . Classification of text documents . Comput. J. 41 , 8, 537 -- 546 . Li, Y. H. and Jain, A. K. 1998. Classification of text documents. Comput. J. 41, 8, 537--546.","journal-title":"Comput. J."},{"key":"e_1_2_1_26_1","volume-title":"Proceedings of the 37th Meeting of the Association of Computational Linguistics, 370--377","author":"Liu J. M.","unstructured":"Liu , J. M. and Chua , T. S . 2001. Building semantic perceptron net for topic spotting . In Proceedings of the 37th Meeting of the Association of Computational Linguistics, 370--377 . 10.3115\/1073012.1073061 Liu, J. M. and Chua, T. S. 2001. Building semantic perceptron net for topic spotting. In Proceedings of the 37th Meeting of the Association of Computational Linguistics, 370--377. 10.3115\/1073012.1073061"},{"key":"e_1_2_1_27_1","volume-title":"Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 273--280","author":"Makoto I.","unstructured":"Makoto , I. and Takenobu , T . 1995. Cluster-Based text categorization: A comparison of category search strategies . In Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 273--280 . 10.1145\/215206.215371 Makoto, I. and Takenobu, T. 1995. Cluster-Based text categorization: A comparison of category search strategies. In Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 273--280. 10.1145\/215206.215371"},{"key":"e_1_2_1_28_1","volume-title":"Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 59--65","author":"Masand B.","unstructured":"Masand , B. , Lino , G. , and Waltz , D . 1992. Classifying news stories using memory based reasoning . In Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 59--65 . 10.1145\/133160.133177 Masand, B., Lino, G., and Waltz, D. 1992. Classifying news stories using memory based reasoning. In Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 59--65. 10.1145\/133160.133177"},{"key":"e_1_2_1_29_1","volume-title":"Proceedings of the AAAI-98 Workshop on Learning for Text Categorization, 41--48","author":"McCallum A.","unstructured":"McCallum , A. and Nigam , K . 1998. A comparison of event models for na\u00efve Bayes text classification . In Proceedings of the AAAI-98 Workshop on Learning for Text Categorization, 41--48 . McCallum, A. and Nigam, K. 1998. A comparison of event models for na\u00efve Bayes text classification. In Proceedings of the AAAI-98 Workshop on Learning for Text Categorization, 41--48."},{"key":"e_1_2_1_30_1","volume-title":"Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 214--221","author":"Miller D. R. H.","unstructured":"Miller , D. R. H. , Leek , T. , and Schwartz , R. M . 1999. A hidden Markov model information retrieval system . In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 214--221 . 10.1145\/312624.312680 Miller, D. R. H., Leek, T., and Schwartz, R. M. 1999. A hidden Markov model information retrieval system. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 214--221. 10.1145\/312624.312680"},{"key":"e_1_2_1_31_1","volume-title":"Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 67--73","author":"Ng H. T.","unstructured":"Ng , H. T. , Goh , W. B. , and Low , K. L . 1997. Feature selection, perceptron learning, and a usability case study for text categorization . In Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 67--73 . 10.1145\/258525.258537 Ng, H. T., Goh, W. B., and Low, K. L. 1997. Feature selection, perceptron learning, and a usability case study for text categorization. In Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 67--73. 10.1145\/258525.258537"},{"key":"e_1_2_1_32_1","volume-title":"Programming for Machine Learning. Morgan Kaumann","author":"Quinlan J.","unstructured":"Quinlan , J. 1993. C4.5 : Programming for Machine Learning. Morgan Kaumann , San Fransisco, CA . Quinlan, J. 1993. C4.5: Programming for Machine Learning. Morgan Kaumann, San Fransisco, CA."},{"key":"e_1_2_1_33_1","volume-title":"Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 81--82","author":"Ruiz M. E.","unstructured":"Ruiz , M. E. and Srinivasan , P . 1999. Hierarchical neural networks for text categorization . In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 81--82 . 10.1145\/312624.312700 Ruiz, M. E. and Srinivasan, P. 1999. Hierarchical neural networks for text categorization. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 81--82. 10.1145\/312624.312700"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007649029923"},{"key":"e_1_2_1_35_1","volume-title":"Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 229--237","author":"Schutze H.","unstructured":"Schutze , H. , Hull , D. A. , and Pedersen , J. O . 1995. A comparison of classifier and document representations for the routing problem . In Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 229--237 . 10.1145\/215206.215365 Schutze, H., Hull, D. A., and Pedersen, J. O. 1995. A comparison of classifier and document representations for the routing problem. In Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 229--237. 10.1145\/215206.215365"},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/505282.505283"},{"key":"e_1_2_1_37_1","unstructured":"Utgoff P. E. and Brodley C. E. 1991. Linear machine decision trees. COINS Tech. Rep. 91--10 Dept. of Computer Science University of Massachusetts.   Utgoff P. E. and Brodley C. E. 1991. Linear machine decision trees. COINS Tech. Rep. 91--10 Dept. of Computer Science University of Massachusetts."},{"key":"e_1_2_1_38_1","volume-title":"The Nature of Statistical Learning Theory","author":"Vapnik V.","unstructured":"Vapnik , V. 1995. The Nature of Statistical Learning Theory . Springer-Verlag , New York . Vapnik, V. 1995. The Nature of Statistical Learning Theory. Springer-Verlag, New York."},{"key":"e_1_2_1_39_1","volume-title":"Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 207--216","author":"Wu H. R.","unstructured":"Wu , H. R. , Phang , T. H. , Liu , B. , and Li , X. L . 2002. A refinement approach to handling model misfit in text categorization . In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 207--216 . 10.1145\/775047.775078 Wu, H. R., Phang, T. H., Liu, B., and Li, X. L. 2002. A refinement approach to handling model misfit in text categorization. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 207--216. 10.1145\/775047.775078"},{"key":"e_1_2_1_40_1","volume-title":"Proceedings of the 20th Annual International Conference on Machine Learning.","author":"Yan L.","unstructured":"Yan , L. , Dodier , R. , Mozer , M. C. , and Wolniewicz , R . 2003. Optimizing classifier performance via an approximation to the Wilcoxon-Mann-Whitney statistic . In Proceedings of the 20th Annual International Conference on Machine Learning. Yan, L., Dodier, R., Mozer, M. C., and Wolniewicz, R. 2003. Optimizing classifier performance via an approximation to the Wilcoxon-Mann-Whitney statistic. In Proceedings of the 20th Annual International Conference on Machine Learning."},{"key":"e_1_2_1_41_1","volume-title":"Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 13--22","author":"Yang Y. M.","year":"1994","unstructured":"Yang , Y. M. 1994 . Expert network: Effective and efficient learning from human decisions in text categorization and retrieval . In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 13--22 . Yang, Y. M. 1994. Expert network: Effective and efficient learning from human decisions in text categorization and retrieval. In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 13--22."},{"key":"e_1_2_1_42_1","volume-title":"Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 42--49","author":"Yang Y. M.","unstructured":"Yang , Y. M. and Liu , X . 1999. A re-examination of text categorization methods . In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 42--49 . 10.1145\/312624.312647 Yang, Y. M. and Liu, X. 1999. A re-examination of text categorization methods. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 42--49. 10.1145\/312624.312647"},{"key":"e_1_2_1_43_1","volume-title":"Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 190--197","author":"Zhang J.","unstructured":"Zhang , J. and Yang , Y. M . 2003. Robustness of regularized linear classification methods in text categorization . In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 190--197 . 10.1145\/860435.860471 Zhang, J. and Yang, Y. M. 2003. Robustness of regularized linear classification methods in text categorization. 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