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Learning classifiers from only positive and unlabeled data., and . KDD, page 213-220. ACM, (2008)Learning Hidden Markov Models for Regression using Path Aggregation., and . UAI, page 444-451. AUAI Press, (2008)FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection., , and . Data Min. Knowl. Discov., 25 (1): 109-133 (2012)Learning Regulatory Network Models that Represent Regulator States and Roles., and . Regulatory Genomics, volume 3318 of Lecture Notes in Computer Science, page 52-64. Springer, (2004)CSAX: Characterizing Systematic Anomalies in eXpression Data., , , , and . RECOMB, volume 8394 of Lecture Notes in Computer Science, page 222-236. Springer, (2014)Learning to Find Relevant Biological Articles without Negative Training Examples., , and . Australasian Conference on Artificial Intelligence, volume 5360 of Lecture Notes in Computer Science, page 202-213. Springer, (2008)Learning Hidden Markov Models for Regression using Path Aggregation, and . CoRR, (2012)Anomaly Detection Using an Ensemble of Feature Models., , and . ICDM, page 953-958. IEEE Computer Society, (2010)