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A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints.

, , and . IJCAI, page 155-160. (2007)

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Learning Classifiers When the Training Data Is Not IID., , , and . IJCAI, page 756-761. (2007)Feature Selection and Kernel Design via Linear Programming., , and . IJCAI, page 786-791. (2007)A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints., , and . IJCAI, page 155-160. (2007)Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection., , , and . AAAI, page 1663-1670. AAAI Press, (2008)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)Automatic medical coding of patient records via weighted ridge regression., , , , , and . ICMLA, page 260-265. IEEE Computer Society, (2007)Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer., , , , , and . ICMLA, page 482-487. IEEE Computer Society, (2007)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)Probabilistic Joint Feature Selection for Multi-task Learning., , , and . SDM, page 332-342. SIAM, (2007)