supported by the cooperation between BIT and Ericsson;partially supported by the National Natural Science Foundation of China under Grants No.62071039。
This paper proposes a personalized headrelated transfer function(HRTF)prediction method based on Light GBM using anthropometric data.Considering the overfitting problems of the current training-based prediction method...
partially supported by NKRDP under Grant No.2018YFA0704705;the National Natural Science Foundation of China under Grant No.12288201.
In this paper,the L_(2,∞)normalization of the weight matrices is used to enhance the robustness and accuracy of the deep neural network(DNN)with Relu as activation functions.It is shown that the L_(2,∞)normalization...
Machine learning models may outperform traditional statistical regression algorithms for predicting clinical outcomes.Proper validation of building such models and tuning their underlying algorithms is necessary to av...
financial supported by the Iran National Science Foundation(INSF)through research project No.96004000;the GIS research group(Ton Duc Thang University)for supports via the research project“GIS-based applications for solving realworld problems”。
Flash floods are responsible for loss of life and considerable property damage in many countries.Flood susceptibility maps contribute to flood risk reduction in areas that are prone to this hazard if appropriately use...
supported by the National Natural Science Foundation of China(61703131; 61703129; 61701148; 61703128)
The basic idea of multi-class classification is a disassembly method,which is to decompose a multi-class classification task into several binary classification tasks.In order to improve the accuracy of multi-class cla...