All-in-one multicategory least squares nonparallel hyperplanes support vector machine.
Deepak KumarManoj ThakurPublished in: Pattern Recognit. Lett. (2018)
Keyphrases
- least squares
- support vector machine
- hyperplane
- decision boundary
- svm classifier
- binary classifiers
- axis parallel
- linear classifiers
- multi class
- maximum margin
- data points
- training samples
- robust estimation
- support vector
- support vector machine svm
- feature selection
- piecewise linear
- generalization ability
- gene selection
- parameter estimation
- kernel function
- machine learning
- k nearest neighbor
- training data
- knn
- support vectors
- kernel methods
- svm classification
- pattern classification
- principal components
- input space
- ls svm
- sparse linear
- binary classification
- feature vectors
- weight vector
- training set
- feature space
- multi class support vector machines
- levenberg marquardt
- small sample
- normal vectors
- decision function
- radial basis function
- cost sensitive
- convex hull
- data distribution
- image classification
- principal component analysis
- supervised learning
- reinforcement learning
- computer vision