Bayesian Kernelized Matrix Factorization for Spatiotemporal Traffic Data Imputation and Kriging.
Mengying LeiAurélie LabbeYuankai WuLijun SunPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- matrix factorization
- data imputation
- missing data
- variational bayesian
- missing values
- low rank
- negative matrix factorization
- collaborative filtering
- probabilistic matrix factorization
- nonnegative matrix factorization
- factor analysis
- factorization methods
- recommender systems
- incomplete data
- bayesian networks
- neural network
- bayesian inference
- kernel function
- moving objects
- item recommendation
- image processing
- posterior distribution
- latent factors
- imputation methods
- bayesian analysis
- latent factor models
- feature vectors