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Mostrando ítems 71-80 de 95
SMOTE-BD: An exact and scalable oversampling method for imbalanced classification in big dataSMOTE-BD: Un método de sobremuestreo exacto y escalable para la clasificación no balanceada en big data
(Universidad Nacional de La Plata. Facultad de Informática, 2018-12)
El volumen de datos en las aplicaciones de hoy en día ha significado un cambio en la forma de abordar los problemas de Machine Learning. De hecho, el escenario Big Data implica restricciones de escalabilidad que sólo se ...
APPLICATION OF IMAGE MERGING, SEGMENTATION AND REGION-CLASSIFICATION TECHNIQUES AS A NEW APPROACH FOR THE DETAILED THEMATIC MAPPING OF SOIL-VEGETATION ASSEMBLAGESAPLICAÇÃO DE TÉCNICAS DE FUSÃO DE IMAGENS, SEGMENTAÇÃO E CLASSIFICAÇÃO POR REGIÕES COMO UMA NOVA ABORDAGEM PARA O MAPEAMENTO TEMÁTICO DETALHADO DE ASSOCIAÇÕES SOLO-VEGETAÇÃO
(Sociedade Brasileira de Geologia, 2017)
Preservation of confidential information privacy and association rule hiding for data mining: a bibliometric review
(Procedia Computer Science, 2019)
Distributed Model Predictive Control Based on Dynamics Games
(IntechOpen, 2011)
Model predictive control (MPC) is widely recognized as a high performance, yet practical,control technology. This model-based control strategy solves at each sample a discrete-timeoptimal control problem over a finite ...
Artificial neural networks to estimate daylighting in residential environments with surrounding obstructionRedes neuronales artificiales para estimar la iluminación natural en entornos residenciales con obstrucción circundanteRedes neurais artificiais para estimar a iluminação natural em ambientes residenciais com obstrução do entorno
(Universidade Federal de Mato Grosso, 2023)
Characterisation of youth entrepreneurship in Medellín-Colombia using machine learning
(MDPI AGSwitzerland, 2023)
Prediction of academic dropout in university students using data mining: Engineering case
(Corporación Universidad de la Costa, 2021)