We developed a novel algorithm to train robust decision tree based models (notably, Gradient Boosted Decision Tree). This repo contains our implementation under the XGBoost framework. We plan to merge ...
Abstract: We propose an urban traffic management scheme for an all connected vehicle environment. If all the vehicles are autonomous, for example, in smart city projects or future's dense city centers ...
Mathematical programming – the task of expressing operations and decision-making problems in precise mathematical language – is fundamental across domains, yet remains a skill-intensive process ...
Abstract: Genetic programming (GP) is one of the commonly used tools for symbolic regression. In the field of GP, the use of semantics and an external library of subexpressions for designing better ...
This Research Topic addresses the growing demand for clean and reliable energy in the face of rising electricity consumption and environmental concerns. Traditional fossil fuels dominate power ...
1 Department of Mathematics, University of Patras, Patras, Greece. 2 Department of Business Administration, University of Patras, Patras, Greece. This paper presents a new dimension reduction strategy ...
Linear Programming, Importance Sampling using modified and original Cole's LDPC trapping sets enumeration and weighing method for BER/FER error-floor estimation and DNN optimization (MLP layers in CNN ...
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