CMOS + stochastic nanomagnets: heterogeneous computers for probabilistic inference and learning.
Keito KobayashiNihal SinghQixuan CaoKemal SelcukTianrui HuShaila NiaziNavid Anjum AaditShun KanaiHideo OhnoShunsuke FukamiKerem Yunus CamsariPublished in: CoRR (2023)
Keyphrases
- probabilistic inference
- context specific independence
- learning algorithm
- learning process
- graphical models
- bayesian networks
- approximate inference
- message passing
- probabilistic reasoning
- supervised learning
- conditional probabilities
- graph cuts
- semi supervised
- probabilistic model
- active learning
- search algorithm
- training data