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mrMoulder: A recommendation-based adaptive parameter tuning approach for big data processing platform
(Elsevier B.V., 2019)
© 2018 Elsevier B.V. Nowadays the world has entered the big data era. Big data processing platforms, such as Hadoop and Spark, are increasingly adopted by many applications, in which there are numerous parameters that can ...
Auditory nerve frequency tuning measured with forward-masked compound action potentials
(2012)
Frequency selectivity is a fundamental cochlear property. Recent studies using otoacoustic emissions and psychophysical forward masking suggest that frequency selectivity is sharper in human than in common laboratory ...
Statiscal evaluation of the user-specified input parameters in an adaptive weight depth map algorithm
(Universidad EAFITIngeniería MecánicaEscuela de Ingeniería. Departamento de Ingeniería Mecánica, 2011)
In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experiments -- A structured statistical approach including ...
Empirical Comparison Of Cross-validation And Internal Metrics For Tuning Svm Hyperparameters
(Elsevier Science BVAmsterdam, 2017)
Statistical tuning of adaptive-weight depth map algorithm
(SPRINGER, 2011-01-01)
In depth map generation, the settings of the algorithm parameters to yield an accurate disparity estimation are usually chosen empirically or based on unplanned experiments. A systematic statistical approach including ...
O Projeto Alfa Tuning América latina: proposta, discussões e implementação
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Educação - PPGEd-SoCâmpus Sorocaba, 2017-02-17)
Considering the process of the internationalization of higher education and its regionalization beyond borders, this study had the objective of analyzing the structure of the Tuning Project in Latin America (a significant ...