Programmable Bayesian Inference Accelerator for Unsupervised Machine Perception using Parallel Gibbs Sampling in 16nm.
Glenn G. KoYuji ChaiMarco DonatoPaul N. WhatmoughThierry TambeRob A. RutenbarDavid BrooksGu-Yeon WeiPublished in: VLSI Circuits (2020)
Keyphrases
- bayesian inference
- gibbs sampling
- markov chain monte carlo
- gibbs sampler
- hierarchical bayesian
- probabilistic model
- expectation maximization
- topic models
- approximate inference
- prior information
- hyperparameters
- latent dirichlet allocation
- markov chain
- em algorithm
- parameter estimation
- variational inference
- belief networks
- markov networks
- graphical models
- semi supervised
- particle filter
- probability density function
- gaussian process
- hidden variables
- natural language processing
- search space