On the proliferation of support vectors in high dimensions.
Daniel HsuVidya MuthukumarJi XuPublished in: CoRR (2020)
Keyphrases
- high dimensions
- support vectors
- support vector
- input space
- high dimensional
- high dimensional data
- kernel function
- support vector machine
- training samples
- svm classifier
- hyperplane
- training data
- training dataset
- decision functions
- training examples
- high dimensional spaces
- poor quality
- training process
- dimensionality reduction
- ls svm
- low dimensional
- nearest neighbor
- data points
- training set
- feature space
- reinforcement learning
- high quality
- image processing
- learning algorithm