Computational Information Geometry for Binary Classification of High-Dimensional Random Tensors.
Gia-Thuy PhamRémy BoyerFrank NielsenPublished in: Entropy (2018)
Keyphrases
- binary classification
- high dimensional
- information geometry
- multi class
- support vector
- learning problems
- cost sensitive
- multi class classification
- fisher information
- support vector machine
- generalization error
- multi label
- information theory
- log euclidean
- ensemble methods
- low dimensional
- prediction accuracy
- metric space
- diffusion tensor
- high dimensionality
- class imbalance
- data sets
- data points
- feature space
- learning tasks
- machine learning algorithms
- boosting algorithms
- reinforcement learning