Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization.
Voot TangkarattNing XieMasashi SugiyamaPublished in: CoRR (2014)
Keyphrases
- entropy minimization
- dimensionality reduction
- squared loss
- conditional density estimation
- monte carlo
- haplotype inference
- density ratio estimation
- high dimensional
- feature extraction
- high dimensional data
- principal component analysis
- data points
- pattern recognition
- low dimensional
- density ratio
- feature selection
- metric learning
- input space
- unsupervised learning
- least squares
- feature space
- regression model
- active learning