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Feature Selection for Handling Concept Drift in the Data Stream Classification.

, , , and . MLDM, volume 9729 of Lecture Notes in Computer Science, page 614-629. Springer, (2016)

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Dynamic Programming for Bayesian Logistic Regression Learning under Concept Drift., , and . PReMI, volume 8251 of Lecture Notes in Computer Science, page 190-195. Springer, (2013)Bayesian Approach to the Concept Drift in the Pattern Recognition Problems., , and . MLDM, volume 7376 of Lecture Notes in Computer Science, page 1-10. Springer, (2012)The Bayesian logistic regression in pattern recognition problems under concept drift., , and . ICPR, page 2976-2979. IEEE Computer Society, (2012)Bayesian Approach to the Pattern Recognition Problem in Nonstationary Environment., , and . PReMI, volume 6744 of Lecture Notes in Computer Science, page 24-29. Springer, (2011)Feature Selection for Handling Concept Drift in the Data Stream Classification., , , and . MLDM, volume 9729 of Lecture Notes in Computer Science, page 614-629. Springer, (2016)