Inferring causal structures of gut microbiota diversity and feed efficiency traits in poultry using Bayesian learning and genomic structural equation models. [PDF]
J Anim Sci, 2023 Haas V +3 more
europepmc +1 more source
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 +1 more
wiley +1 more source
Off-Grid Sparse Bayesian Learning for Channel Estimation and Localization in RIS-Assisted MIMO-OFDM Under NLoS. [PDF]
Sensors (Basel)Mutlu U, Kabalci Y.
europepmc +1 more source
Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning. [PDF]
Sensors (Basel), 2022 Pugalenthi K +3 more
europepmc +1 more source
Bayesian methods for learning to learn [PDF]
, 2003 This thesis describes Bayesian approaches to the fields of survival analysis, hierarchical (time series) modelling and model clustering. The application areas serve as playing grounds to introduce new methods and approximations to make calculations on large databases that would otherwise be unfeasible, doable in reasonable time.
openaire
Advanced Intelligent Discovery, EarlyView.This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Fixing imbalanced binary classification: An asymmetric Bayesian learning approach. [PDF]
PLoS OneReis LFM +3 more
europepmc +1 more source
Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning. [PDF]
Sensors (Basel), 2022 Zhang Y, Huang LT, Li Y, Zhang K, Yin C.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Bayesian learning-based agent negotiation model to support doctor-patient shared decision making. [PDF]
BMC Med Inform Decis MakChen X +5 more
europepmc +1 more source