IEEE

A Q-learning Evolutionary Multiobjective Framework for Multiobjective Optimization with Separable and Interacting Variables

Abstract: Many multiobjective evolutionary algorithms (MOEAs) have been proposed for dealing with various problem difficulties in multiobjective optimization over the past three decades. However, none ...
Digital Production

Nuke 17.0 rewires 3D and adds Gaussian Splats

Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
BMJ Open

Association between maternal age at childbirth and children’s internalising problems in the USA: a cross-sectional mediation analysis of housing instability and family ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...
IEEE

Discrete Latent Variables Discovery and Structure Learning in Mixed Bayesian Networks

Abstract: Latent variables pose a challenge for accurate modelling, experimental design, and inference, since they may cause non-adjustable bias in the estimation of effects. While most of the ...