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Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation., and . IDA, volume 8207 of Lecture Notes in Computer Science, page 162-173. Springer, (2013)Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation., and . ELM, volume 11 of Proceedings in Adaptation, Learning and Optimization, page 17-26. Springer, (2018)Incremental ELMVIS for unsupervised learning., , , , , , , and . CoRR, (2019)Android Malware Detection: Building Useful Representations., , , , and . ICMLA, page 201-206. IEEE Computer Society, (2016)Variable selection for regression problems using Gaussian mixture models to estimate mutual information., , and . IJCNN, page 1606-1613. IEEE, (2014)Extreme Learning Tree., , , and . CoRR, (2019)Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation., and . CoRR, (2019)The delta test: The 1-NN estimator as a feature selection criterion., , , and . IJCNN, page 4214-4222. IEEE, (2014)Using the Delta Test for Variable Selection., , , , and . ESANN, page 25-30. (2008)Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs., , , , and . HAIS, volume 10334 of Lecture Notes in Computer Science, page 293-305. Springer, (2017)