Jooho Choi
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Control and Systems Engineering — 8 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Safety, Risk, Reliability and Quality — 6 citations into it
- Automotive Engineering — 5 citations into it
Whom Jooho Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Robert A. Jacobs
- Emanuel Parzen
- Walter R. Gilks
- Anders Krogh
- Andrew Gordon Wilson
- Huiyan Sang
- Enrico Zio
- Linxia Liao
- Sofiane Brahim-Belhouari
Papers from Jooho Choi's perspective
Ordered by how strongly the researchers Jooho Choi trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian learning for neural networks
- Sequential Monte Carlo Methods in Practice
- Bayesian data analysis.
- Design and analysis of computer experiments
- Following a moving target—Monte Carlo inference for dynamic Bayesian models
- On Estimation of a Probability Density Function and Mode
- An Introduction to MCMC for Machine Learning
- Remaining useful life estimation - A review on the statistical data driven approaches (European Journal of Operational Research)
- Nonstationary Covariance Functions for Gaussian Process Regression
- Fast Sparse Gaussian Process Methods: The Informative Vector Machine