Results 51 to 60 of about 527,420 (298)

Effects of Outsourced Agricultural Extension Services on the Technical Efficiency and Financial Returns of Soybean Farms in Northern Cameroon

Agribusiness, EarlyView.
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda, Doria A. Medondjeu, Dorothy E. Fon, Stefan Sieber   +3 more
wiley   +1 more source

Predictive accuracy of population meropenem models in critically ill pneumonia patients

Antimicrobial Agents and Chemotherapy
Population pharmacokinetic (PK) models may not generalize across critically ill populations. We evaluated the transportability of published parametric and nonparametric meropenem models as Bayesian priors.
Adrian Valadez, Emma Harlan, Colin Jeantet, Marc H. Scheetz, Michael N. Neely, Helen K. Donnelly, Richard G. Wunderink, Nathaniel J. Rhodes   +7 more
doaj   +1 more source

Bayesian Nonparametric View to Spawning

CoRR, 2021
In tracking multiple objects, it is often assumed that each observation (measurement) is originated from one and only one object. However, we may encounter a situation that each measurement may or may not be associated with multiple objects at each time step --spawning.
openaire   +3 more sources

Discriminative Bayesian Nonparametric Clustering [PDF]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
We propose a general framework for discriminative Bayesian nonparametric clustering to promote the inter-discrimination among the learned clusters in a fully Bayesian nonparametric (BNP) manner. Our method combines existing BNP clustering and discriminative models by enforcing latent cluster indices to be consistent with the predicted labels resulted ...
Vu Nguyen 0001, Dinh Q. Phung, Trung Le 0001, Hung Bui 0001   +3 more
openaire   +2 more sources

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks

SoftwareX, 2020
Bayesian Networks (BNs) are probabilistic, graphical models for representing complex dependency structures. They have many applications in science and engineering.
Dominik Paprotny, Oswaldo Morales-Nápoles, Daniël T.H. Worm, Elisa Ragno   +3 more
doaj   +1 more source

Nonparametric Bayesian Volatility Estimation [PDF]

SSRN Electronic Journal, 2018
Given discrete time observations over a fixed time interval, we study a nonparametric Bayesian approach to estimation of the volatility coefficient of a stochastic differential equation. We postulate a histogram-type prior on the volatility with piecewise constant realisations on bins forming a partition of the time interval. The values on the bins are
Gugushvili, S., van der Meulen, F., Schauer, M., Spreij, P.   +3 more
openaire   +4 more sources

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Spatial non-parametric Bayesian clustered coefficients

Scientific Reports
In the field of population health research, understanding the similarities between geographical areas and quantifying their shared effects on health outcomes is crucial.
Wala Draidi Areed, Aiden Price, Helen Thompson, Reid Malseed, Kerrie Mengersen   +4 more
doaj   +1 more source

Bayesian nonparametric discovery of isoforms and individual specific quantification

Nature Communications, 2018
Alternative splicing leads to transcript isoform diversity. Here, Aguiar et al. develop biisq, a Bayesian nonparametric approach to discover and quantify isoforms from RNA-seq data.
Derek Aguiar, Li-Fang Cheng, Bianca Dumitrascu, Fantine Mordelet, Athma A. Pai, Barbara E. Engelhardt   +5 more
doaj   +1 more source