Keyphrases
- high dimensional
- support vector machine
- feature space
- small sample
- multi class
- svm classifier
- similarity search
- high dimensionality
- kernel function
- feature selection
- high dimension
- sparse data
- markov chain
- low dimensional
- multi dimensional
- input space
- metric space
- variable selection
- parameter space
- support vector
- dimension reduction
- radial basis function
- data points
- sufficient conditions
- kernel principal component analysis
- machine learning
- dimensionality reduction
- kernel methods
- multi class support vector machines
- gene expression data
- high dimensional problems
- soft margin
- stock market prediction
- training data
- feature extraction
- noisy data
- support vector regression
- hyperplane
- sparse coding
- microarray data
- steady state
- pattern recognition
- data analysis
- high dimensional data
- feature vectors
- state space
- knn