On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution.
Shinichi NakajimaMasashi SugiyamaS. Derin BabacanPublished in: ICML (2011)
Keyphrases
- dimensionality reduction
- high dimensional
- feature space
- principal component analysis
- fully automatic
- bayesian networks
- optimal solution
- principal components
- mathematical model
- covariance matrix
- semi automatic
- feature vectors
- genetic algorithm
- linear programming
- selection strategy
- bayesian learning
- linear equations
- principle component analysis
- low dimensionality