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Boosting Algorithms as Gradient Descent.

2000
We provide an abstract characterization of boosting algorithms as gradient decsent on cost-functionals in an inner-product function space. We prove convergence of these functional-gradient-descent algorithms under quite weak conditions. Following previous theoretical results bounding the generalization performance of convex combinations of classifiers ...
Mason, Llew   +3 more
openaire   +3 more sources

Gradient Tree Boosting for Hierarchical Data

Multivariate Behavioral Research, 2023
Steffen Nestler   +2 more
exaly  

Deep Learning Versus Gradient Boosting Machine for Pan Evaporation Prediction

Engineering Applications of Computational Fluid Mechanics, 2022
Samed Inyurt   +2 more
exaly  

A Novel Construction Cost Prediction Model Using Hybrid Natural and Light Gradient Boosting

Advanced Engineering Informatics, 2020
Debaditya Chakraborty   +2 more
exaly  

Second-Hand Vessel Valuation: An Extreme Gradient Boosting Approach

Maritime Policy and Management, 2023
Roar Adland, Haiying Jia
exaly  

Fault Diagnosis in Low Voltage Smart Distribution Grids Using Gradient Boosting Trees

Electric Power Systems Research, 2020
Jesus Lago   +2 more
exaly  

Gradient Boosting

2019
Brad Boehmke, Brandon Greenwell
openaire   +1 more source

Gradient Boosting Machine for Modeling the Energy Consumption of Commercial Buildings

Energy and Buildings, 2018
Samuel Fernandes   +2 more
exaly  

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