Ara
Toplam kayıt 16, listelenen: 11-16
Application of machine learning to the prediction of postoperative sepsis after appendectomy
(Mosby-Elsevier, 2021)
Background: We applied various machine learning algorithms to a large national dataset to model the risk of postoperative sepsis after appendectomy to evaluate utility of such methods and identify factors associated with ...
J-curve in Turkish bilateral trade: A nonlinear approach
(Taylor and Francis Inc., 2019)
This study aims to bring further evidence on recent developments of the J-curve literature by employing linear and nonlinear autoregressive distributed lag (ARDL) approaches for Turkish bilateral trade data with respect ...
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
(Ieee-Inst Electrical Electronics Engineers Inc, 2021)
Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of ...
Classification with Fuzzy OWA Distance
(Ieee, 2014)
OWA (Ordered Weighted Averaging) Distance Based CxK Nearest Neighbor Algorithm (CxK-NN) via L-R fuzzy data is performed with two different fuzzy metric measures. We use fuzzy metric defined by Diamond and a weighted ...
An adaptive forecast combination approach based on meta intuitionistic fuzzy functions
(Ios Press, 2021)
Intuitionistic meta fuzzy forecast combination functions are introduced in the paper. There are two challenges in the forecast combination literature, determining the optimum weights and the methods to combine. Although ...
Machine learning analysis on American Gut Project microbiome data to identify subjects with cancer both with and without chemotherapy exposure.
(Lippincott Williams & Wilkins, 2020)
[Abstract Not Available]