Results 231 to 240 of about 201,968 (266)
Bayesian neural network-based policy effect prediction for green transformation of power business environment. [PDF]
Sci RepShen Y +5 more
europepmc +1 more source
Optimized CNN framework with VGG19, EfficientNet, and Bayesian optimization for early colon cancer detection. [PDF]
Sci RepRahman T +7 more
europepmc +1 more source
Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotations. [PDF]
PLoS OneMcGuire CE, Hibbs MA.
europepmc +1 more source
Improving acute lymphoblastic leukemia diagnosis through CBAM-enhanced VGG19 deep learning. [PDF]
Sci RepRahman SIU +7 more
europepmc +1 more source
A non-parametric adaptive conformal inference based probabilistic hour-ahead solar PV power forecasting method. [PDF]
Sci RepSuresh V, Revathi BS, Guerrero JM.
europepmc +1 more source
Deep Bayesian Unsupervised Lifelong Learning [PDF]
Neural Networks, 2022 Lifelong Learning (LL) refers to the ability to continually learn and solve new problems with incremental available information over time while retaining previous knowledge. Much attention has been given lately to Supervised Lifelong Learning (SLL) with a stream of labelled data.
Tingting Zhao, Jennifer Dy
exaly +5 more sources
Priors in Bayesian Deep Learning: A Review
International Statistical Review, 2022 SummaryWhile the choice of prior is one of the most critical parts of the Bayesian inference workflow, recent Bayesian deep learning models have often fallen back on vague priors, such as standard Gaussians. In this review, we highlight the importance of prior choices for Bayesian deep learning and present an overview of different priors that have been
Vincent Fortuin
exaly +5 more sources