Results 51 to 60 of about 7,530,486 (302)
Orthogonal-least-squares regression: A unified approach for data modelling
A unified approach is proposed for data modelling that includes supervised regression and classification applications as well as unsupervised probability density function estimation. The orthogonal-least-squares regression based on the leave-one-out test
Harris, C. J. +13 more
core +1 more source
Orthogonal least squares regression with tunable kernels [PDF]
A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressor by incrementally ...
Wang, X. X. +4 more
core +1 more source
To analyze variations in the vertical distribution of water temperatures and the impact of advection in the central Yellow Sea, multi-layer water temperature and current observations were conducted from 31 May to 8 June 2021. Water temperatures exhibited
Baekjin Kim +4 more
doaj +1 more source
Spatial‐temporal characteristics of AIDS incidences in Mainland China
Object Revealed the spatial‐temporal patterns of acquired immune deficiency syndrome (AIDS) incidences in Mainland China. Methods Empirical orthogonal function (EOF) technique was applied to analyze the major spatial distribution modes and the temporal ...
Zhigang Wu +7 more
doaj +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Grey-box radial basis function modelling
A fundamental principle in data modelling is to incorporate available a priori information regarding the underlying data generating mechanism into the modelling process.
Xia Hong +6 more
core +1 more source
Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality [PDF]
An efficient model identification algorithm for a large class of linear-in-the-parameters models is introduced that simultaneously optimises the model approximation ability, sparsity and robustness. The derived model parameters in each forward regression
Harris, C. J. +5 more
core +1 more source
Predicting coastal morphological changes with empirical orthogonal function method
In order to improve the accuracy of prediction when using the empirical orthogonal function (EOF) method, this paper describes a novel approach for two-dimensional (2D) EOF analysis based on extrapolating both the spatial and temporal EOF components for ...
Fernando Alvarez, Shun-qi Pan
doaj
Empirical Bayes Approach for Accelerated life Tests Considering the Weibull Distribution. [PDF]
In this paper, we present a general technique for construction of the empirical Bayes (EB) methods considering accelerated life tests with m of the stress levels.
A. Attia
doaj +1 more source
Using EOF and GAMLSS to Analyze Nonstationary Extreme Climate Events in Huai River Basin
【Objective】 Global climate change results in nonstationary extreme climate events which cannot be analyzed using traditional frequency analysis method.
WANG Huaijun +7 more
doaj +1 more source

