Results 51 to 60 of about 5,004,642 (164)

Concentrations of rare earth elements in maternal serum during pregnancy and risk for fetal neural tube defects

Environment International, 2020
Rare earth elements (REEs) are ubiquitous in the environment. Animal experiments have shown that many REEs have adverse impacts on the health of fetuses. However, data from humans are scarce.
Jing Wei, Chengrong Wang, Shengju Yin, Xin Pi, Lei Jin, Zhiwen Li, Jufen Liu, Linlin Wang, Chenghong Yin, Aiguo Ren   +9 more
doaj   +1 more source

Bayesian Mode Regression [PDF]

, 2014
This article has been made available through the Brunel Open Access Publishing Fund.Like mean, quantile and variance, mode is also an important measure of central tendency of a distribution.
Yu, K, Aristodemou, K, Lu, Z
core   +1 more source

Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures

Statistics in Medicine, 2018
Exposure to environmental mixtures can exert wide‐ranging effects on child neurodevelopment. However, there is a lack of statistical methods that can accommodate the complex exposure‐response relationship between mixtures and neurodevelopment while simultaneously estimating neurodevelopmental trajectories.
Shelley H. Liu, Jennifer F. Bobb, Birgit Claus Henn, Chris Gennings, Lourdes Schnaas, Martha Tellez‐Rojo, David Bellinger, Manish Arora, Robert O. Wright, Brent A. Coull   +9 more
openaire   +3 more sources

Probability density estimation with tunable kernels using orthogonal forward regression [PDF]

, 2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Hong, Xia, Chen, Sheng, Harris, Chris J., Chen, S.   +3 more
core   +1 more source

Bayesian Binary Search

Algorithms
We present Bayesian Binary Search (BBS), a novel framework that bridges statistical learning theory/probabilistic machine learning and binary search. BBS utilizes probabilistic methods to learn the underlying probability density of the search space. This
Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader, Pietro Lio’   +6 more
doaj   +1 more source

A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction

Frontiers in Genetics, 2022
The adoption of machine learning frameworks in areas beyond computer science have been facilitated by the development of user-friendly software tools that do not require an advanced understanding of computer programming.
Osval Antonio Montesinos López, Brandon Alejandro Mosqueda González, Abel Palafox González, Abelardo Montesinos López, José Crossa, José Crossa   +5 more
doaj   +1 more source

Estimation of Crop Yield From Combined Optical and SAR Imagery Using Gaussian Kernel Regression

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
The synthetic aperture radar (SAR) interferometric coherence can complement optical data for the estimation of crop growth parameters, but it has not been yet investigated for predicting crop yield.
Yeshanbele Alebele, Wenhui Wang, Weiguo Yu, Xue Zhang, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao, Tao Cheng   +8 more
doaj   +1 more source

Pattern recognition and machine learning for magnetic resonance images with kernel methods [PDF]

, 2009
The aim of this thesis is to apply a particular category of machine learning and pattern recognition algorithms, namely the kernel methods, to both functional and anatomical magnetic resonance images (MRI). This work specifically focused on supervised
Chu, C.-Y.C.
core  

Evaluating the impact of environmental metal mixtures on chronic kidney disease risk: Insights from the National Health and Nutrition Examination Survey 2011–2016

Journal of International Medical Research
Background Chronic kidney disease is a global health issue, with environmental metal mixtures potentially contributing to its risk, although interactions between metals remain unclear.
Sen Zhang, XiaoJuan Fu
doaj   +1 more source

The Joint Impact of Heavy Metals and Polycyclic Aromatic Hydrocarbons on Periodontitis

International Dental Journal
Objective: Heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) are significant environmental pollutants, raising growing concerns about their potential impact on human health, particularly oral health.
Ziqiu Fan, Guangna Yue, Dongming Yu, Min Zhang, Hideki Kitaura   +4 more
doaj   +1 more source