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Mining in the Presence of Selectivity Bias and its Application to Reject Inference., , and . KDD, page 199-203. AAAI Press, (1998)A Universal Approximation Theorem for Mixture-of-Experts Models., , and . Neural Comput., 28 (12): 2585-2593 (2016)Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects., , and . BMC Bioinform., (2012)A note on the choice of a weighting function to give an efficient method for estimating the probability of misclassification.. Pattern Recognit., 9 (3): 147-149 (1977)Discrimination with autocorrelated observations., and . Pattern Recognit., 18 (2): 145-149 (1985)A new algorithm for support vector regression with automatic selection of hyperparameters., , , and . Pattern Recognit., (2023)Top 10 algorithms in data mining., , , , , , , , , and 4 other author(s). Knowl. Inf. Syst., 14 (1): 1-37 (2008)Identifying fiber bundles with regularised к-means clustering applied to the grid-based data., and . IJCNN, page 1-8. IEEE, (2010)Penalized Principal Component Analysis of Microarray Data., and . CIBB, volume 6160 of Lecture Notes in Computer Science, page 82-96. Springer, (2009)Randomized mixture models for probability density approximation and estimation., , and . Inf. Sci., (2018)