Direct Density Ratio Estimation with Dimensionality Reduction.
Masashi SugiyamaSatoshi HaraPaul von BünauTaiji SuzukiTakafumi KanamoriMotoaki KawanabePublished in: SDM (2010)
Keyphrases
- reinforcement learning
- dimensionality reduction
- density ratio estimation
- outlier detection
- machine learning
- feature extraction
- pattern recognition
- low dimensional
- high dimensional data
- data points
- principal component analysis
- feature space
- high dimensional
- least squares
- feature selection
- unsupervised learning
- input space
- density ratio
- independent component analysis
- covariate shift
- detection algorithm
- support vector machine