Direct importance estimation with probabilistic principal component analyzers.
Makoto YamadaMasashi SugiyamaGordon WichernPublished in: ICASSP (2010)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- dimensionality reduction
- generative model
- kernel space
- principal component regression
- hyperplane
- bayesian networks
- probabilistic model
- estimation algorithm
- uncertain data
- continuous valued
- data sets
- posterior probability
- parameter estimation
- high dimensional
- density estimation
- linear classifiers
- principal components analysis
- principal curves
- neural network