{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T05:35:32Z","timestamp":1740980132351,"version":"3.38.0"},"reference-count":64,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2013,2,1]],"date-time":"2013-02-01T00:00:00Z","timestamp":1359676800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2013,2]]},"DOI":"10.1016\/j.ins.2011.01.034","type":"journal-article","created":{"date-parts":[[2011,2,3]],"date-time":"2011-02-03T09:15:29Z","timestamp":1296724529000},"page":"282-301","source":"Crossref","is-referenced-by-count":19,"special_numbering":"C","title":["HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning"],"prefix":"10.1016","volume":"222","author":[{"given":"Amelia","family":"Zafra","sequence":"first","affiliation":[]},{"given":"Mykola","family":"Pechenizkiy","sequence":"additional","affiliation":[]},{"given":"Sebasti\u00e1n","family":"Ventura","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.ins.2011.01.034_b0005","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1109\/TPAMI.2008.284","article-title":"Human action recognition in videos using kinematic features and multiple instance learning","volume":"32","author":"Ali","year":"2010","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.ins.2011.01.034_b0010","unstructured":"S. Andrews, I. Tsochantaridis, T. Hofmann, Support vector machines for multiple-instance learning, in: NIPS\u201902: Proceedings of Neural Information Processing System, 2002."},{"key":"10.1016\/j.ins.2011.01.034_b0015","doi-asserted-by":"crossref","unstructured":"P. Auer, R. Ortner, A boosting approach to multiple instance learning, in: ECML\u201904: Proceedings of the 5th European Conference on Machine Learning, Lecture Notes in Computer Science, vol. 3201, 2004.","DOI":"10.1007\/978-3-540-30115-8_9"},{"key":"10.1016\/j.ins.2011.01.034_b0020","series-title":"ICML \u201905: Proceedings of the 22nd International Conference on Machine Learning","article-title":"Multi-instance tree learning","author":"Blockeel","year":"2005"},{"key":"10.1016\/j.ins.2011.01.034_b0025","unstructured":"Y.-M. Chai, Z.-W. Yang, A multi-instance learning algorithm based on normalized radial basis function network, in: ISSN\u201907: Proceedings of the 4th International Symposium on Neural Networks, Lecture Notes in Computer Science, vol. 4491, Nanjing, China, 2007."},{"issue":"2","key":"10.1016\/j.ins.2011.01.034_b0030","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/TSMCC.2008.2007257","article-title":"A human-centered multiple instance learning framework for semantic video retrieval","volume":"39","author":"Chen","year":"2009","journal-title":"IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews"},{"issue":"12","key":"10.1016\/j.ins.2011.01.034_b0035","doi-asserted-by":"crossref","first-page":"1931","DOI":"10.1109\/TPAMI.2006.248","article-title":"MILES: multiple-instance learning via embedded instance selection","volume":"28","author":"Chen","year":"2006","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.ins.2011.01.034_b0040","first-page":"913","article-title":"Image categorization by learning and reasoning with regions","volume":"5","author":"Chen","year":"2004","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.ins.2011.01.034_b0045","unstructured":"Y.-Z. Chevaleyre, J.-D. Zucker, Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem, in: AI\u201901: Proceedings of the 14th of the Canadian Society for Computational Studies of Intelligence, Lecture Notes in Computer Science, vol. 2056, Ottawa, Canada, 2001."},{"key":"10.1016\/j.ins.2011.01.034_b0050","unstructured":"H. Cohen, Image restoration via n-nearest neighbour classification, in: ICIP\u201996: Proceedings of the International Conference on Image Processing, 1996."},{"volume":"vol. 3","year":"1998","author":"De Jong","key":"10.1016\/j.ins.2011.01.034_b0055"},{"issue":"1\u20132","key":"10.1016\/j.ins.2011.01.034_b0060","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/S0004-3702(96)00034-3","article-title":"Solving the multiple instance problem with axis-parallel rectangles","volume":"89","author":"Dietterich","year":"1997","journal-title":"Artifical Intelligence"},{"issue":"293","key":"10.1016\/j.ins.2011.01.034_b0065","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1080\/01621459.1961.10482090","article-title":"Multiple comparisons among means","volume":"56","author":"Dunn","year":"1961","journal-title":"Journal of the American Statistical Association"},{"year":"1995","series-title":"Measure, Topology, and Fractal Geometry","author":"Edgar","key":"10.1016\/j.ins.2011.01.034_b0070"},{"key":"10.1016\/j.ins.2011.01.034_b0075","doi-asserted-by":"crossref","first-page":"2044","DOI":"10.1016\/j.ins.2009.12.010","article-title":"Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: experimental analysis of power","volume":"180","author":"Garc\u00eda","year":"2010","journal-title":"Information Sciences"},{"key":"10.1016\/j.ins.2011.01.034_b0080","first-page":"2677","article-title":"An extension on \u201cstatistical comparisons of classifiers over multiple data sets\u201d for all pairwise comparisons","volume":"9","author":"Garc\u00eda","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.ins.2011.01.034_b0085","series-title":"ICML\u201902: Proceedings of the 19th International Conference on Machine Learning","article-title":"Multi-instance kernels","author":"G\u00e4rtner","year":"2002"},{"key":"10.1016\/j.ins.2011.01.034_b0090","doi-asserted-by":"crossref","unstructured":"Z. Gu, T. Mei, J. Tang, X. Wu, X. Hua, MILC2: a multi-layer multi-instance learning approach to video concept detection, in: MMM\u201908: Proceedings of the 14th International Conference of Multimedia Modeling, Kyoto, Japan, 2008.","DOI":"10.1145\/1291233.1291309"},{"key":"10.1016\/j.ins.2011.01.034_b0095","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"Guyon","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"10.1016\/j.ins.2011.01.034_b0100","doi-asserted-by":"crossref","unstructured":"G. Herman, G. Ye, J. Xu, B. Zhang, Region-based image categorization with reduced feature set, in: Proceedings of the 10th IEEE Workshop on Multimedia Signal Processing, 2008.","DOI":"10.1109\/MMSP.2008.4665145"},{"key":"10.1016\/j.ins.2011.01.034_b0105","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1016\/j.datak.2009.07.011","article-title":"An optimization of ReliefF for classification in large datasets","volume":"68","author":"Huang","year":"2009","journal-title":"Data and Knowledge Engineering"},{"issue":"3","key":"10.1016\/j.ins.2011.01.034_b0110","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1162\/089976601300014493","article-title":"Improvements to Platt\u2019s SMO algorithm for SVM classifier design","volume":"13","author":"Keerthi","year":"2001","journal-title":"Neural Computation"},{"key":"10.1016\/j.ins.2011.01.034_b0115","series-title":"ECML\u201994: Proceedings of the 7th European Conference in Machine Learning","article-title":"Estimating attributes: analysis and extension of relief","author":"Kononenko","year":"1994"},{"key":"10.1016\/j.ins.2011.01.034_b0120","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1016\/S0167-8655(99)00082-3","article-title":"Nearest neighbor classifier: simultaneous editing and feature selection","volume":"20","author":"Kuncheva","year":"1999","journal-title":"Pattern Recognition Letters"},{"issue":"1","key":"10.1016\/j.ins.2011.01.034_b0125","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.ins.2010.08.047","article-title":"Simultaneous feature selection and classification using kernel-penalized support vector machines","volume":"181","author":"Maldonado","year":"2011","journal-title":"Information Sciences"},{"issue":"3","key":"10.1016\/j.ins.2011.01.034_b0130","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1007\/s10957-007-9343-5","article-title":"Multiple instance classification via successive linear programming","volume":"137","author":"Mangasarian","year":"2008","journal-title":"Journal of Optimization Theory and Applications"},{"key":"10.1016\/j.ins.2011.01.034_b0135","article-title":"A framework for multiple-instance learning","volume":"Vol. 10","author":"Maron","year":"1997"},{"issue":"11","key":"10.1016\/j.ins.2011.01.034_b0140","doi-asserted-by":"crossref","first-page":"1424","DOI":"10.1109\/TPAMI.2004.105","article-title":"Hybrid genetic algorithms for feature selection","volume":"26","author":"Oh","year":"2004","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.ins.2011.01.034_b0145","series-title":"ECCV\u201908: Proceedings of the 10th European Conference on Computer Vision, No. 4","article-title":"Multiple instance boost using graph embedding based decision stump for pedestrian detection","volume":"5305","author":"Pang","year":"2008"},{"issue":"3","key":"10.1016\/j.ins.2011.01.034_b0150","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1016\/j.eswa.2007.08.055","article-title":"An EM based multiple instance learning method for image classification","volume":"35","author":"Pao","year":"2008","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10.1016\/j.ins.2011.01.034_b0155","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1016\/j.patcog.2006.04.042","article-title":"Incorporating multiple svms for automatic image annotation","volume":"40","author":"Qi","year":"2007","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.ins.2011.01.034_b0160","series-title":"ICML\u201905: Proceedings of the 22nd International Conference on Machine Learning","article-title":"Supervised versus multiple instance learning: an empirical comparison","author":"Ray","year":"2005"},{"key":"10.1016\/j.ins.2011.01.034_b0165","series-title":"ICML \u201908: Proceedings of the 25th International Conference on Machine learning","article-title":"Bayesian multiple instance learning: automatic feature selection and inductive transfer","author":"Raykar","year":"2008"},{"issue":"2","key":"10.1016\/j.ins.2011.01.034_b0170","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1109\/4235.850656","article-title":"Dimensionality reduction using genetic algorithms","volume":"4","author":"Raymer","year":"2000","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"10.1016\/j.ins.2011.01.034_b0175","unstructured":"O. Ritthoff, R. Klinkenberg, S. Fischer, I. Mierswa, A hybrid approach to feature selection and generation using an evolutionary algorithm, UK, 2002."},{"key":"10.1016\/j.ins.2011.01.034_b0180","unstructured":"G. Ruffo, Learning single and multiple instance decision tree for computer security applications, Master\u2019s Thesis, Department of Computer Science, University of Turin, Turin, Italy, 2000."},{"key":"10.1016\/j.ins.2011.01.034_b0185","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1142\/S1469026805001453","article-title":"On generalized multiple-instance learning","volume":"5","author":"Scott","year":"2005","journal-title":"International Journal of Computational Intelligence and Applications"},{"key":"10.1016\/j.ins.2011.01.034_b0190","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/0167-8655(89)90037-8","article-title":"A note on genetic algorithms for large-scale feature selection","volume":"10","author":"Siedlecki","year":"1989","journal-title":"Pattern Recognition Letters"},{"key":"10.1016\/j.ins.2011.01.034_b0195","series-title":"ICML\u201904: Proceedings of the 21st International Conference on Machine Learning","article-title":"SVM-based generalized multiple-instance learning via approximate box counting","author":"Tao","year":"2004"},{"issue":"1","key":"10.1016\/j.ins.2011.01.034_b0200","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.inffus.2004.04.003","article-title":"Diversity in search strategies for ensemble feature selection","volume":"6","author":"Tsymbal","year":"2005","journal-title":"Information Fusion"},{"key":"10.1016\/j.ins.2011.01.034_b0205","series-title":"ICML\u201900: Proceedings of the 17th International Conference on Machine Learning","article-title":"Solving the multiple-instance problem: a lazy learning approach","author":"Wang","year":"2000"},{"key":"10.1016\/j.ins.2011.01.034_b0210","doi-asserted-by":"crossref","unstructured":"N. Weidmann, E. Frank, B. Pfahringer, A two-level learning method for generalized multi-instance problems, in: ECML\u201903: Proceedings of the 14th European Conference on Machine Learning, 2003.","DOI":"10.1007\/978-3-540-39857-8_42"},{"year":"2005","series-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"Witten","key":"10.1016\/j.ins.2011.01.034_b0215"},{"key":"10.1016\/j.ins.2011.01.034_b0220","doi-asserted-by":"crossref","unstructured":"X. Xu, E. Frank, Logistic regression and boosting for labeled bags of instances, in: PAKDD\u201904: Proceedings of the 8th Conference of Pacific-Asia, Lecture Notes in Computer Science, vol. 3056, 2004.","DOI":"10.1007\/978-3-540-24775-3_35"},{"key":"10.1016\/j.ins.2011.01.034_b0225","doi-asserted-by":"crossref","unstructured":"C. Yang, M. Dong, F. Fotouhi, Region based image annotation through multiple-instance learning, in: Multimedia\u201905: Proceedings of the 13th Annual ACM International Conference on Multimedia, New York, 2005.","DOI":"10.1145\/1101149.1101245"},{"key":"10.1016\/j.ins.2011.01.034_b0230","series-title":"ICDE \u201900: Proceedings of the 16th International Conference on Data Engineering","article-title":"Image database retrieval with multiple-instance learning techniques","author":"Yang","year":"2000"},{"key":"10.1016\/j.ins.2011.01.034_b0235","series-title":"ICME\u201907: Proceedings of the IEEE International Conference on Multimedia and Expo","article-title":"A novel multiple instance learning approach for image retrieval based on adaboost feature selection","author":"Yuan","year":"2007"},{"key":"10.1016\/j.ins.2011.01.034_b0240","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.asoc.2009.10.021","article-title":"Multi-instance learning with multi-objective genetic programming for web mining","volume":"11","author":"Zafra","year":"2011","journal-title":"Applied Soft Computing"},{"key":"10.1016\/j.ins.2011.01.034_b0245","unstructured":"A. Zafra, M. Pechenizkiy, S. Ventura, Reducing dimensionality in multiple instance learning with a filter method, in: HAIS\u201910: Proceedings of the 5th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 6077, San Sebasti\u00e1n, Spain, 2010."},{"key":"10.1016\/j.ins.2011.01.034_b0250","doi-asserted-by":"crossref","unstructured":"A. Zafra, S. Ventura, Predicting student grades in learning management systems with multiple instance genetic programming, in: EDM\u201909: Proceedings of the 2nd Conference on Educational Data Mining, Cordoba, Spain, 2009.","DOI":"10.1109\/ISDA.2009.108"},{"issue":"23","key":"10.1016\/j.ins.2011.01.034_b0255","doi-asserted-by":"crossref","first-page":"4496","DOI":"10.1016\/j.ins.2010.07.031","article-title":"G3P-MI: a genetic programming algorithm for multiple instance learning","volume":"180","author":"Zafra","year":"2010","journal-title":"Information Sciences"},{"key":"10.1016\/j.ins.2011.01.034_b0260","doi-asserted-by":"crossref","first-page":"11470","DOI":"10.1016\/j.eswa.2009.03.059","article-title":"Multi-instance genetic programming for web index recommendation","volume":"36","author":"Zafra","year":"2009","journal-title":"Expert System with Applications"},{"key":"10.1016\/j.ins.2011.01.034_b0265","unstructured":"D. Zhang, F. Wang, L. Si, T. Li, M3IC: maximum margin multiple instance clustering, in: International Joint Conference on Artificial Intelligence, 2009."},{"issue":"1","key":"10.1016\/j.ins.2011.01.034_b0270","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1023\/B:NEPL.0000016836.03614.9f","article-title":"Improve multi-instance neural networks through feature selection","volume":"19","author":"Zhang","year":"2004","journal-title":"Neural Processing Letter"},{"key":"10.1016\/j.ins.2011.01.034_b0275","unstructured":"M.-L. Zhang, Z.-H. Zhou, Ensembles of multi-instance neural networks, in: IIP\u201904: International Conference on Intelligent Information Processing II, IFIP International Federation for Information Processing, vol. 163, Beijing, China, 2005."},{"issue":"1","key":"10.1016\/j.ins.2011.01.034_b0280","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11063-005-2192-z","article-title":"Adapting RBF neural networks to multi-instance learning","volume":"23","author":"Zhang","year":"2006","journal-title":"Neural Processing Letters"},{"key":"10.1016\/j.ins.2011.01.034_b0285","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s10489-007-0111-x","article-title":"Multi-instance clustering with applications to multi-instance prediction","volume":"31","author":"Zhang","year":"2009","journal-title":"Applied Intelligence"},{"key":"10.1016\/j.ins.2011.01.034_b0290","article-title":"EM-DD: an improved multiple-instance learning technique","volume":"vol. 14","author":"Zhang","year":"2001"},{"issue":"5","key":"10.1016\/j.ins.2011.01.034_b0295","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1007\/s11390-006-0800-7","article-title":"Multi-instance learning from supervised view","volume":"21","author":"Zhou","year":"2006","journal-title":"Journal Computer Science and Technology"},{"issue":"2","key":"10.1016\/j.ins.2011.01.034_b0300","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s10489-005-5602-z","article-title":"Multi-instance learning based web mining","volume":"22","author":"Zhou","year":"2005","journal-title":"Applied Intelligence"},{"key":"10.1016\/j.ins.2011.01.034_b0305","doi-asserted-by":"crossref","unstructured":"Z.-H. Zhou, J.-M. Xu, On the relation between multi-instance learning and semi-supervised learning, in: ICML\u201907: Proceedings of the 24th International Conference on Machine Learning, Corvallis, OR, USA, 2007.","DOI":"10.1145\/1273496.1273643"},{"key":"10.1016\/j.ins.2011.01.034_b0310","doi-asserted-by":"crossref","unstructured":"Z.-H. Zhou, M.-L. Zhang, Ensembles of multi-instance learners, in: ECML\u201903: Proceedings of the 14th European Conference on Machine Learning, Lecture Note in Artifical Intelligence, vol. 2837, 2003.","DOI":"10.1007\/978-3-540-39857-8_44"},{"issue":"2","key":"10.1016\/j.ins.2011.01.034_b0315","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s10115-006-0029-3","article-title":"Solving multi-instance problems with classifier ensemble based on constructive clustering","volume":"11","author":"Zhou","year":"2007","journal-title":"Knowledge and Information Systems"},{"issue":"1","key":"10.1016\/j.ins.2011.01.034_b0320","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/TSMCB.2006.883267","article-title":"Wrapperfilter feature selection algorithm using a mometic framework","volume":"37","author":"Zhu","year":"2007","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics \u2013 Part B: Cybernetics"}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025511000612?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025511000612?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T10:12:37Z","timestamp":1740910357000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025511000612"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,2]]},"references-count":64,"alternative-id":["S0020025511000612"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2011.01.034","relation":{},"ISSN":["0020-0255"],"issn-type":[{"type":"print","value":"0020-0255"}],"subject":[],"published":{"date-parts":[[2013,2]]}}}