Results 271 to 277 of about 903,926 (277)

A Machine Learning Approach to Define Weights for Linear Combination of Forecasts

2006
The linear combination of forecasts is a procedure that has improved the forecasting accuracy for different time series. In this procedure, each method being combined is associated to a numerical weight that indicates the contribution of the method in the combined forecast. We present the use of machine learning techniques to define the weights for the
Ricardo Prudêncio, Teresa Ludermir
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Rate of Approximation of Weighted Derivatives by Linear Combinations of SMD Operators

1992
We consider the Durrmeyer modification of the Szasz-Mirakjan operators. The rate of simultaneous approximation by linear combinations is related to the Ditzian-Totik modulus of smoothness. We prove a direct and a corresponding inverse theorem and, partly as a corollary, an equivalence result.
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Linear Combination of Ground Motion Models with Optimized Weights Using Quadratic Programming

2022
Dongyoup Kwak, Dongil Jang, Jae-Kwang Ahn   +2 more
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<title>Adaptive linear combination of weighted medians</title>

SPIE Proceedings, 2002
Kang-Sun Choi, Aldo W. Morales, Sung-Jea Ko   +2 more
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Assessment of Urban Forests by Using Weighted Linear Combination

2018
BOSTANCI, Bülent, EYMEN, Abdurrahman
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Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging:

2009
Drobne, Samo, Lisec, Anka
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Optimal Determination of Adaptive Linear Combiner Weights Using Differential Evolution Algorithm

2005
KARABOĞA, Nurhan, Koyuncu , Canan Aslıhan   +1 more
openaire   +1 more source