Discriminative Auto-Encoding for Classification and Representation Learning Problems.
Vipul BansalHimanshu BuckchashBalasubramanian RamanPublished in: IEEE Signal Process. Lett. (2021)
Keyphrases
- learning problems
- supervised learning
- machine learning algorithms
- machine learning
- learning tasks
- kernel methods
- learning algorithm
- supervised learning algorithms
- kernel based learning
- binary classification
- decision trees
- feature extraction
- semi supervised learning
- support vector
- semi supervised
- classification accuracy
- pattern recognition
- image classification
- unsupervised learning
- multiple kernel learning
- supervised classification
- reinforcement learning
- text classification
- feature selection
- computational learning theory
- support vector machine
- multi class
- training set
- feature space
- training samples
- sample complexity
- class labels
- learning theory
- multi task
- multi task learning
- unlabeled data
- binary classifiers
- induction algorithms
- kernel machines
- feature set
- error correcting output codes
- model selection