Local Kernel Density Ratio-Based Feature Selection for Outlier Detection.
Fatemeh AzmandianJennifer G. DyJaved A. AslamDavid R. KaeliPublished in: ACML (2012)
Keyphrases
- density ratio estimation
- density ratio
- outlier detection
- feature selection
- least squares
- detection algorithm
- density estimation
- knowledge discovery
- support vector
- feature space
- machine learning
- data streams
- detecting outliers
- covariate shift
- feature set
- model selection
- text categorization
- detect outliers
- dimensionality reduction
- computer vision
- classification accuracy
- feature subset
- data mining
- support vector machine
- multi task
- feature extraction
- unsupervised learning
- text classification
- independent component analysis
- missing values