Back temporal autoregressive matrix factorization for high-dimensional time series prediction.
Liang ChenJing WangWei WangZehua LouPublished in: Expert Syst. Appl. (2024)
Keyphrases
- autoregressive
- matrix factorization
- high dimensional
- moving average
- multivariate time series
- non stationary
- collaborative filtering
- low rank
- recommender systems
- missing data
- random fields
- gaussian markov random field
- factor analysis
- negative matrix factorization
- factorization methods
- low dimensional
- nonnegative matrix factorization
- sar images
- dimensionality reduction
- nearest neighbor
- image segmentation
- tensor factorization
- machine learning
- maximum entropy
- optical flow
- prior knowledge
- clustering algorithm
- item recommendation