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Efficient hyperparameter optimization in convolutional neural networks by learning curves pbkp_rediction
Conference ObjectAbstract: In this work, we present an automatic framework for hyperparameter selection in Convolutional NeuralPalabras claves:deep learning, forecasting, Hyperparameter optimization, Learning curves, Singular spectrum analysis, SVRAutores:A. E. Castro-Ospina, Cardona-Escobar A., Giraldo-Forero A., Jaramillo-Garzon J.A.Fuentes:scopusMulti-label learning by hyperparameters calibration for treating class imbalance
Conference ObjectAbstract: Multi-label learning has been becoming an increasingly active area into the machine learning communiPalabras claves:Imbalanced learning, Multilabel classification, Problem transformation, Support Vector MachineAutores:A. E. Castro-Ospina, Cardona-Escobar A., Giraldo-Forero A.Fuentes:scopus