https://openreview.net/forum?id=DuWrLOZ27k
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping |...
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping
bayesian learningprobabilisticdipoleinversionquantitative
https://unimore.unifind.cineca.it/resource/item/248202?language=en-US
UNIFIND - UNIMORE - Bayesian learning of multiple essential graphs
Unifind is a portal where you can discover the expertise within a university by searching among experts, courses, professions, people, publications, and...
bayesian learningmultipleessentialgraphs
https://proceedings.neurips.cc/paper_files/paper/2025/hash/0ce1eb87dbb03fdfa872a93d15cfe333-Abstract-Conference.html
The Quotient Bayesian Learning Rule
bayesian learningquotientrule
https://arxiv.org/abs/2410.02965
[2410.02965] BSNMani: Bayesian Scalar-on-network Regression with Manifold Learning
Abstract page for arXiv paper 2410.02965: BSNMani: Bayesian Scalar-on-network Regression with Manifold Learning
bayesianscalar
https://arxiv.org/abs/1707.05246?ref=ruder.io
[1707.05246] Learning to select data for transfer learning with Bayesian Optimization
Abstract page for arXiv paper 1707.05246: Learning to select data for transfer learning with Bayesian Optimization
select datalearning
https://indico.in2p3.fr/event/35882/sessions/23713/
Paris workshop on Bayesian Deep Learning for Cosmology and Time Domain Astrophysics 3rd ed. (20-May...
Machine learning attracts a lot of interest in the fields of cosmology and time-domain astronomy and may potentially lead to major breakthroughs. Its adoption...
https://arxiv.org/abs/2512.04407
[2512.04407] Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering
Abstract page for arXiv paper 2512.04407: Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering
graphical modelslearningheterogeneousordinal
https://www.morressier.com/o/event/5fc631d303137aa525498a83/article/5fc6329a9e0a135cbec9ab90
Polypharmacology computational tools: Machine learning with Bayesian classifiers
Computational prediction of compound targets is a growing discipline that takes advantage of QSAR approaches applied to large-scale global pharma |
computational toolsmachine learningbayesianclassifiers
https://rdrr.io/cran/bnlearn/
bnlearn: Bayesian Network Structure Learning, Parameter Learning and Inference version 5.1 from CRAN
Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC,...