Boolean Matrix Factorization via Nonnegative Auxiliary Optimization.
Duc P. TruongErik SkauDerek DeSantisBoian S. AlexandrovPublished in: CoRR (2021)
Keyphrases
- matrix factorization
- nonnegative matrix factorization
- stochastic gradient descent
- data matrix
- tensor factorization
- collaborative filtering
- factor matrices
- low rank
- recommender systems
- negative matrix factorization
- factor analysis
- missing data
- factorization methods
- low rank matrix
- sparse non negative
- data sparsity
- latent factors
- constrained optimization
- probabilistic matrix factorization
- latent factor models
- variational bayesian
- item recommendation
- implicit feedback
- factorization method
- gaussian processes
- image classification
- multiscale
- feature extraction