Results 81 to 90 of about 1,764,639 (264)
A Bayesian approach to parameter estimation for kernel density estimation via transformations [PDF]
In this paper, we present a Markov chain Monte Carlo (MCMC) simulation algorithm for estimating parameters in the kernel density estimation of bivariate insurance claim data via transformations.
David Pitt +3 more
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Anatomical Sciences Education, EarlyView.Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
Sparse Kernel Modelling: A Unified Approach
, 2007 A unified approach is proposed for sparse kernel data modelling that includes regression and classification as well as probability density function estimation. The orthogonal-least-squares forward selection method based on the leave-one-out test criteria
Hong, X., Harris, C.J., Chen, S.
core +1 more source
A sparse kernel density estimation algorithm using forward constrained regression
, 2007 Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The leave-one-out (LOO) test score is used for kernel selection.
Hong, X. +3 more
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Applying the possibilistic C-means algorithm in kernel-induced spaces [PDF]
, 2010 In this paper, we study a kernel extension of the classic possibilistic c-means. In the proposed extension, we implicitly map input patterns into a possibly high-dimensional space by means of positive semidefinite kernels. In this new space, we model the
Masulli, F. +5 more
core +1 more source
British Educational Research Journal, EarlyView.Abstract This study examines the under‐theorized political role and identity of Chinese international students, who emerge as significant actors caught between U.S. soft power ambitions and rising geopolitical suspicion. Amid escalating U.S.‐China tensions, these students are forced to confront environments shaped by competing geopolitical discourses ...
Jing Yu
wiley +1 more source
IEEE Access, 2018 Spatial remote sensing images are usually degraded during image capturing procedures mainly due to the mixed factors of atmospheric turbulence, spacecraft motion, and out of focus lenses.
Kun Gao, Zhenyu Zhu, Zeyang Dou, Lu Han
doaj +1 more source
NONPARAMETRIC KERNEL ESTIMATION OF MULTIPLE HEDGE RATIOS [PDF]
It is possible for the traditional hedge ratio estimation to produce erroneous guidance to risk managers because of the restrictive assumptions. This study adopts nonparametric locally polynomial kernel estimation to exclude the assumptions. Results from
Kim, MinKyoung, Leuthold, Raymond M.
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Visual discomfort and blur [PDF]
, 2013 This work was supported by a doctoral training grant from the BBSRC to LOH.Certain visual stimuli, such as striped patterns and filtered noise, have been reported to be uncomfortable.
Hibbard, Paul Barry +3 more
core +1 more source
Advances in causal discovery methods for ecological time series
Biological Reviews, EarlyView.ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source