Results 11 to 20 of about 726,930 (286)
Boosting healthier choices [PDF]
BMJ, 2022 Thomas Rouyard and colleagues discuss use of the boosting approach as an alternative to nudging in developing non-coercive interventions to promote ...
Rouyard, Thomas +3 more
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Algorithms, 2021 In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation.
Guido Bologna
doaj +1 more source
Use of machine learning techniques for modeling of snow depth
Лëд и снег, 2017 Snow exerts significant regulating effect on the land hydrological cycle since it controls intensity of heat and water exchange between the soil-vegetative cover and the atmosphere.
G. V. Ayzel
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Applied Sciences, 2023 The uranium required for power plants is mainly extracted by two methods in roughly equal amounts: quarries (underground and open pit) and in situ leaching (ISL). Uranium mining by in situ leaching is extremely attractive because it is economical and has
Yan Kuchin +7 more
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The European Physical Journal C, 2014 The inclusive Higgs production rate through gluon fusion has been measured to be in agreement with the Standard Model (SM). We show that even if the inclusive Higgs production rate is very SM-like, a precise determination of the boosted Higgs transverse momentum shape offers the opportunity to see effects of natural new physics.
Schlaffer, Matthias +4 more
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Boosting Ridge Regression [PDF]
, 2005 Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques.
Binder, Harald, Tutz, Gerhard
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A Multilevel Switched Capacitor Inverter with Reduced Components and Self-Balance
Applied Sciences, 2023 This paper presents a novel 13-level switched capacitor multilevel inverter, which uses less devices to achieve six-fold voltage gain. The proposed topology structure consists of twelve transistors, two diodes, and three capacitors.
Zhengdong Deng +4 more
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Kernel density classification and boosting: an L2 sub analysis [PDF]
, 2005 Kernel density estimation is a commonly used approach to classification. However, most of the theoretical results for kernel methods apply to estimation per se and not necessarily to classification.
B.W. Silverman +25 more
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Estimation and Regularization Techniques for Regression Models with Multidimensional Prediction Functions [PDF]
, 2008 Boosting is one of the most important methods for fitting regression models and building prediction rules from high-dimensional data. A notable feature of boosting is that the technique has a built-in mechanism for shrinking coefficient estimates and
Hothorn, Torsten +3 more
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IEEE Access, 2023 Radiologists use an imaging order from the ordering physician, which includes a radiology title, to select the most suitable imaging protocol. Inappropriate radiology titles can disrupt protocol selection and result in mistaken or delayed diagnosis.
Peyman Shokrollahi +7 more
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