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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)

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Principles of Multi-kernel Data Mining., , , and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 52-61. Springer, (2005)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)Methods of Hyperparameter Estimation in Time-Varying Regression Models with Application to Dynamic Style Analysis of Investment Portfolios., , , , and . MLDM, volume 10358 of Lecture Notes in Computer Science, page 431-450. Springer, (2017)A Signal Processing Algorithm Based on Parametric Dynamic Programming., , , and . ICISP, volume 6134 of Lecture Notes in Computer Science, page 280-286. Springer, (2010)Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels., , , , and . MCS, volume 5519 of Lecture Notes in Computer Science, page 324-334. Springer, (2009)Adaptive nonstationary regression analysis., and . ICPR, page 1-4. IEEE Computer Society, (2008)Convex support and Relevance Vector Machines for selective multimodal pattern recognition., , , , and . ICPR, page 1647-1650. IEEE Computer Society, (2012)Multi-class Classification in Big Data., , , and . AIST (Supplement), volume 1710 of CEUR Workshop Proceedings, page 203-211. CEUR-WS.org, (2016)Generalized Edge-Preserving Smoothing for Signal Analysis, , and . Proceedings of the IEEE Workshop on Nonlinear Signal and Image Processing, IEEE, (September 1997)Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning., , and . Braverman Readings in Machine Learning, volume 11100 of Lecture Notes in Computer Science, page 52-102. Springer, (2017)