An Approach to Supervised Learning: Dynamic Multi-Hyperplane Partitioning.
Anuchate PattanateepaponWatcharapan SuwansantisukPinit KumhomPublished in: IEEE Access (2020)
Keyphrases
- hyperplane
- supervised learning
- training samples
- principal direction
- support vector
- linear classifiers
- input space
- feature space
- data points
- maximal margin
- linearly separable
- decision boundary
- learning algorithm
- classification procedure
- training data
- unsupervised learning
- locality sensitive
- svm classifier
- incremental learning algorithm
- kernel space
- learning tasks
- convex hull
- support vector machine
- reinforcement learning
- normal vectors
- training examples
- image classification
- multi class
- linear separability
- linearly independent