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Using Kernel Methods and Model Selection for Prediction of Preterm Birth.

, , , , , , , , , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 55-72. JMLR.org, (2016)

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Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods., , , and . CICLing, volume 5449 of Lecture Notes in Computer Science, page 86-97. Springer, (2009)Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness., , , , , , , and . AAAI Spring Symposia, AAAI Press, (2014)Using Kernel Methods and Model Selection for Prediction of Preterm Birth., , , , , , , , , and 1 other author(s). MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 55-72. JMLR.org, (2016)A process for predicting manhole events in Manhattan., , , , , and . Mach. Learn., 80 (1): 1-31 (2010)Learning Parameters of the K-Means Algorithm From Subjective Human Annotation., , , , , and . FLAIRS, AAAI Press, (2011)The Columbia-GWU System at the 2017 TAC KBP BeSt Evaluation., , , , , , , , , and . TAC, NIST, (2017)The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation., , , , , , , , , and 1 other author(s). TAC, NIST, (2016)The 2016 TAC KBP BeSt Evaluation., , , , , , , , , and 2 other author(s). TAC, NIST, (2016)Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task., , , and . ICMLA, page 719-724. IEEE Computer Society, (2009)Multivariate Assessment of a Repair Program for a New York City Electrical Grid., , , , and . ICMLA (2), page 509-514. IEEE, (2012)978-1-4673-4651-1.