Causal Effect Estimation Using Random Hyperplane Tessellations.
Abhishek DalviNeil AshtekarVasant G. HonavarPublished in: CoRR (2024)
Keyphrases
- hyperplane
- support vector
- training samples
- linear classifiers
- feature space
- data points
- input space
- principal components
- kernel function
- locality sensitive
- convex hull
- linear separability
- linearly separable
- decision boundary
- classification procedure
- maximal margin
- support vectors
- normal vectors
- incremental learning algorithm
- support vector machine
- kernel space
- feature set
- principal component analysis
- decision trees
- image processing
- computer vision
- data sets