q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions.
Assaf GlazerMichael LindenbaumShaul MarkovitchPublished in: NIPS (2013)
Keyphrases
- high dimensional
- one class support vector machines
- central limit theorem
- probability distribution
- anomaly detection
- least squares
- maximum likelihood
- similarity search
- sparse data
- dimensionality reduction
- low dimensional
- high dimensionality
- high dimensional problems
- microarray data
- maximum a posteriori
- random variables
- high dimensional data
- multi dimensional
- nearest neighbor
- variable selection
- estimation algorithm
- variance estimator
- parameter space
- confidence intervals
- joint distribution
- regularized kernel
- error estimation
- data sets
- exponential family
- kullback leibler divergence
- power law
- probability density
- graphical models
- data mining