Results 61 to 70 of about 106,398 (294)
Wavelet Decomposition of Gradient Boosting
CoRR, 2018 In this paper we introduce a significant improvement to the popular tree-based Stochastic Gradient Boosting algorithm using a wavelet decomposition of the trees. This approach is based on harmonic analysis and approximation theoretical elements, and as we show through extensive experimentation, our wavelet based method generally outperforms existing ...
Shai Dekel, Oren Elisha, Ohad Morgan
openaire +2 more sources
Arthritis Care &Research, EarlyView.Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Gradient Boosting Neural Networks
, 2021 Umjetne neuronske mreže izgrađene pomoću algoritma podizanja gradijenta Princip izgradnje ansambala neuronskih mreža pomoću algoritma podizanja gradijenta i usporedba performansi takvih rješenja s postojećim rješenjima gradijentno podignutih stabala ...
Glavinović, Ivan
core
Modeling CO2 solubility in water using gradient boosting and light gradient boosting machine
Scientific ReportsThe growing application of carbon dioxide (CO2) in various environmental and energy fields, including carbon capture and storage (CCS) and several CO2-based enhanced oil recovery (EOR) techniques, highlights the importance of studying the phase ...
Atena Mahmoudzadeh +7 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth +6 more
wiley +1 more source
Plasmid database (Gradient Boosting model construction)
, 2021 Plasmid database used for the training and testing of the Gradient Boosting model.
Palomino-Cabrera, Rosalía
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Next MaterialsThis work deals with the machine learning techniques used to build predictive models to determine the phases in complex concentrated alloys (CCAs). Two different approaches were employed to determine the presence of phases.
Kaven A.S. +2 more
doaj +1 more source
Atmosphere, 2023 Machine learning algorithms are applied to predict intense wind shear from the Doppler LiDAR data located at the Hong Kong International Airport. Forecasting intense wind shear in the vicinity of airport runways is vital in order to make intelligent ...
Afaq Khattak +3 more
doaj +1 more source
Causal Gradient Boosting: Boosted Instrumental Variable Regression
Proceedings of the 23rd ACM Conference on Economics and Computation, 2022 Recent advances in the literature have demonstrated that standard supervised learning algorithms are ill-suited for problems with endogenous explanatory variables. To correct for the endogeneity bias, many variants of nonparameteric instrumental variable regression methods have been developed.
Edvard Bakhitov, Amandeep Singh
openaire +2 more sources
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source