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2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2013(1)
IEEE Latin America Transactions(1)
Mathematical Social Sciences(1)
Proceedings of the International Joint Conference on Neural Networks(1)
Studies in Computational Intelligence(1)
Automatic model selection in ensembles for time series forecasting
ArticleAbstract: Long-term forecasting in time series is still an open problem, but promising advances have been achiPalabras claves:Building Ensembles, Meta-Features, Multi-Step Time Series Pbkp_rediction, Self-Organizing MapsAutores:Gomez P., Rigoberto Fonseca-DelgadoFuentes:googlescopusAn assessment of ten-fold and Monte Carlo cross validations for time series forecasting
Conference ObjectAbstract: On a meta-learning process, the key is to build a reliable meta-training data set, which requires thPalabras claves:Autores:Gomez-Gil P., Rigoberto Fonseca-DelgadoFuentes:googlescopusGeneralized binary utility functions and fair allocations
ArticleAbstract: The problem of finding envy-free allocations of indivisible goods cannot always be solved; thereforePalabras claves:Additive utility function, Allocation of indivisible goods/chores, EFFICIENCY, Envy-free up to one good/choreAutores:Franklin José Camacho, Guido Tapia-Riera, Pino R., Rigoberto Fonseca-DelgadoFuentes:googlescopusSelecting and combining models with self-organizing maps for long-term forecasting of chaotic time series
Conference ObjectAbstract: When time series are generated by chaotic systems, a reasonable estimation of large pbkp_rediction hPalabras claves:Autores:Gomez-Gil P., Rigoberto Fonseca-DelgadoFuentes:googlescopusTemporal validated meta-learning for long-term forecasting of chaotic time series using Monte Carlo cross-validation
ArticleAbstract: Forecasting long-term values of chaotic time series is a difficult task, but it is required in severPalabras claves:Autores:Gomez-Gil P., Rigoberto Fonseca-DelgadoFuentes:googlescopus