Inducing non-orthogonal and non-linear decision boundaries in decision trees via interactive basis functions.
Antonio PáezFernando A. LópezManuel RuizMáximo CamachoPublished in: Expert Syst. Appl. (2019)
Keyphrases
- basis functions
- decision boundary
- decision trees
- linear combination
- series expansion
- axis parallel
- pattern classification
- base classifiers
- training set
- training samples
- radial basis function
- state space
- support vector machine
- nearest neighbor
- data points
- training data
- matching pursuit
- naive bayes
- wavelet bases
- support vectors
- machine learning
- hyperplane
- data distribution
- kernel function
- knn
- data mining
- cost sensitive
- ensemble methods
- support vector machine svm
- small number
- pairwise
- computer vision
- set of basis functions