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A fast algorithm for learning large scale preference relations.

, , and . AISTATS, volume 2 of JMLR Proceedings, page 388-395. JMLR.org, (2007)

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KDD cup 2008 and the workshop on mining medical data., , and . SIGKDD Explor., 10 (2): 34-38 (2008)Using Local Dependencies within Batches to Improve Large Margin Classifiers., , , , and . J. Mach. Learn. Res., (2009)Learning Classifiers When the Training Data Is Not IID., , , and . IJCAI, page 756-761. (2007)A Bayesian Approach to Joint Feature Selection and Classifier Design., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 26 (9): 1105-1111 (2004)Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography., , , , , , , , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 350-357. Springer, (2008)Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models., and . ICASSP, page 2989-2992. IEEE, (2002)Joint classifier and feature optimization for cancer diagnosis using gene expression data., , and . RECOMB, page 167-175. ACM, (2003)Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?., , , , , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 504-509. Springer, (2008)Bayesian Co-Training., , , and . J. Mach. Learn. Res., (2011)Multiple-Instance Learning Algorithms for Computer-Aided Detection., , , and . IEEE Trans. Biomed. Eng., 55 (3): 1015-1021 (2008)