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Ordinal Regression Methods: Survey and Experimental Study.

, , , , и . IEEE Trans. Knowl. Data Eng., 28 (1): 127-146 (2016)

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Pedro Andres Aranda Gutiérrez

Pedro Alejandro Gutiérrez Stevenson

Raúl Gutiérrez

Lirio Gutiérrez

Antonio Miguel Hurtado Gutierrez

 

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Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification., , , , и . Neurocomputing, 75 (1): 123-134 (2012)An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series., , , и . CAEPIA, том 11160 из Lecture Notes in Computer Science, стр. 209-218. Springer, (2018)Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models., , , и . CAEPIA, том 9422 из Lecture Notes in Computer Science, стр. 301-311. Springer, (2015)Ordinal regression neural networks based on concentric hyperspheres., , и . Neural Networks, (2014)Monotonic classification: an overview on algorithms, performance measures and data sets., , , , и . CoRR, (2018)Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology., , , , и . HAIS (2), том 7209 из Lecture Notes in Computer Science, стр. 308-318. Springer, (2012)Evolutionary Ordinal Extreme Learning Machine., , и . HAIS, том 8073 из Lecture Notes in Computer Science, стр. 500-509. Springer, (2013)Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment., , , и . ESANN, (2013)Ordinal classification of depression spatial hot-spots of prevalence., , , , , и . ISDA, стр. 1170-1175. IEEE, (2011)Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns., , , , , и . ISDA, стр. 1265-1270. IEEE, (2011)