A lower bound on the entropy rate for a large class of stationary processes and its relation to the hyperplane conjecture.
Meik DorpinghausPublished in: ITW (2016)
Keyphrases
- hyperplane
- lower bound
- separating hyperplane
- maximal margin
- minimum error
- principal components
- feature space
- data points
- support vector
- support vector machine
- upper bound
- training samples
- linearly separable
- linear svm
- linear separability
- kernel function
- input space
- incremental learning algorithm
- objective function
- normal vectors
- optimal solution
- supervised learning
- reinforcement learning
- convex hull
- svm classifier
- computer vision
- worst case
- decision boundary
- knn
- decision trees