Results 21 to 30 of about 125,360 (256)
A Weighted Generalized Maximum Entropy Estimator with a Data-driven Weight
Entropy, 2009 The method of Generalized Maximum Entropy (GME), proposed in Golan, Judge and Miller (1996), is an information-theoretic approach that is robust to multicolinearity problem.
Ximing Wu
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Spatial Regression Models for Field Trials: A Comparative Study and New Ideas
Frontiers in Plant Science, 2022 Naturally occurring variability within a study region harbors valuable information on relationships between biological variables. Yet, spatial patterns within these study areas, e.g., in field trials, violate the assumption of independence of ...
Stijn Hawinkel +5 more
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Explaining the Generalized Cross-Validation on Linear Models [PDF]
Journal of Mathematics and Statistics, 2019 Cross-Validation is a model validation method widely used by the scientific community. The Generalized Cross-Validation (GCV) is an invariant version of the usual Cross-Validation method. This generalization was obtained using the non usual theory of circulant complex matrices.
Chaves, Lucas Monteiro +3 more
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Sensors, 2019 The sliding window technique is widely used to segment inertial sensor signals, i.e., accelerometers and gyroscopes, for activity recognition. In this technique, the sensor signals are partitioned into fix sized time windows which can be of two types: (1)
Akbar Dehghani +3 more
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BarekengNonparametric regression is a statistical method used to model relationships between variables without making strong assumptions about the functional form of the relationship.
Andre Fajry Al Barra +1 more
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MethodsX, 2023 This study proposes a Geographically Weighted Generalized Poisson Regression (GWGPR) model with the best kernel function to obtain a model of the number of postpartum maternal mortality in East Java Province in 2020 and determine the factors that affect ...
Sischa Wahyuning Tyas +2 more
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The L-Curve Criterion as a Model Selection Tool in PLS Regression
Journal of Probability and Statistics, 2019 Partial least squares (PLS) regression is an alternative to the ordinary least squares (OLS) regression, used in the presence of multicollinearity. As with any other modelling method, PLS regression requires a reliable model selection tool.
Abdelmounaim Kerkri +2 more
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Scientific Journal of Informatics, 2018 The completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data.
Mochamad Aryono Adhi +3 more
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Analysis of Variance of Cross-Validation Estimators of the Generalization Error
J. Mach. Learn. Res., 2005 This paper brings together methods from two different disciplines: statistics and machine learning. We address the problem of estimating the variance of cross-validation (CV) estimators of the generalization error. In particular, we approach the problem of variance estimation of the CV estimators of generalization error as a problem in approximating ...
Markatou, Marianthi +3 more
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Optimizing for Generalization in Machine Learning with Cross-Validation Gradients
CoRR, 2018 11 ...
Shane T. Barratt, Rishi Sharma 0005
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