Results 91 to 100 of about 914,879 (290)
ada: An R Package for Stochastic Boosting [PDF]
Boosting is an iterative algorithm that combines simple classification rules with "mediocre" performance in terms of misclassification error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement which
George Michailides +2 more
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TBR Data for GRADIENT BOOSTING MACHINES
, 2023 This data set contains the data point used in the work 'DEVELOPMENT OF GRADIENT BOOSTING MACHINES FOR ESTIMATION OF TOTAL AND DYNAMIC LIQUID HOLDUP IN TRICKLE BED ...
Bharath Sureshkumar +4 more
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Advanced Functional Materials, EarlyView.The 2D carbon‐supported Gd–CuO exhibits strong interfacial electronic coupling, abundant oxygen vacancies, and highly exposed active sites, enabling efficient CO enrichment and C─C coupling toward selective and durable CO2‐to‐C2H4 conversion. ABSTRACT Copper‐based catalysts are promising for electrochemical CO2 reduction toward value‐added chemicals ...
Xueya Zhu +11 more
wiley +1 more source
Hedonic price models and indices based on boosting applied to the Dutch housing market [PDF]
We create a hedonic price model for house prices for six geographical submarkets in the Netherlands. Our model is based on a recent data mining technique called boosting.
Kagie, M., Wezel, M.C. van
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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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An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Advanced Functional Materials, EarlyView.Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Historical Gradient Boosting Machine
EPiC Series in Computing, 2018 We introduce the Historical Gradient Boosting Machine with the objective of improving the convergence speed of gradient boosting. Our approach is analyzed from the perspective of numerical optimization in function space and considers gradients in previous steps, which have rarely been appreciated by traditional methods.
Zeyu Feng, Chang Xu 0002, Dacheng Tao
openaire +3 more sources
Estimation of Single-Index Models Based on Boosting Techniques [PDF]
, 2008 In single-index models the link or response function is not considered as fixed. The data determine the form of the unknown link function. In order to obtain a flexible form of the link function we specify the link function as an expansion in basis ...
Leitenstorfer, Florian, Tutz, Gerhard
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Advanced Functional Materials, EarlyView.A lead‐free tin‐based hybrid perovskite is designed in which stereochemically active lone‐pair electrons on tin distort the crystal lattice and break its symmetry. Blended into a flexible polymer, the material converts pressure into electricity at milliwatt‐scale power density and continues working far below freezing, powering a commercial wristwatch ...
Majid Haji Bagheri +12 more
wiley +1 more source
Forecasting with many predictors - Is boosting a viable alternative? [PDF]
This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006).
Wohlrabe, Klaus, Buchen, Teresa
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