Bayesian sparse factor analysis with kernelized observations.
Carlos Sevilla-SalcedoAlejandro Guerrero-LópezPablo M. OlmosVanessa Gómez-VerdejoPublished in: Neurocomputing (2022)
Keyphrases
- factor analysis
- latent factors
- fisher discriminant analysis
- component analysis
- independent component analysis
- discriminant analysis
- cluster analysis
- bayesian networks
- statistical tests
- high dimensional
- matrix factorization
- maximum likelihood
- automatic model selection
- sparse representation
- kernel function
- correspondence analysis
- signal processing
- neural network
- recommender systems