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View Learning for Statistical Relational Learning: With an Application to Mammography.

, , , , , , and . IJCAI, page 677-683. Professional Book Center, (2005)

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A collective ranking method for genome-wide association studies., , , and . BCB, page 313-320. ACM, (2012)Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer., , , , , and . J. Digital Imaging, 23 (5): 554-561 (2010)Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants., , , , , , , , , and . AMIA, AMIA, (2018)Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls., , , , , and . IWBI, volume 10718 of SPIE Proceedings, page 1071820. SPIE, (2018)Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors., , and . Operations Research, 58 (6): 1577-1591 (2010)High-Dimensional Structured Feature Screening Using Binary Markov Random Fields., , , , , and . AISTATS, volume 22 of JMLR Proceedings, page 712-721. JMLR.org, (2012)Boosting First-Order Clauses for Large, Skewed Data Sets., , and . ILP, volume 5989 of Lecture Notes in Computer Science, page 166-177. Springer, (2009)View Learning for Statistical Relational Learning: With an Application to Mammography., , , , , , and . IJCAI, page 677-683. Professional Book Center, (2005)Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies., , , , , and . UAI, page 511-522. AUAI Press, (2012)Fluorescence Spectroscopy: An Adjunct Diagnostic Tool to Image-Guided Core Needle Biopsy of the Breast., , , , , , and . IEEE Trans. Biomed. Eng., 56 (10): 2518-2528 (2009)