Learning Neural Networks on SVD Boosted Latent Spaces for Semantic Classification.
Sahil SidheekhPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- supervised learning
- machine learning
- learning algorithm
- unsupervised learning
- online learning
- learning process
- classification accuracy
- learning rules
- active learning
- learning phase
- least squares
- support vector
- neural nets
- incremental learning
- pattern classification
- feature selection
- training process
- feature space
- class labels
- reinforcement learning
- multi category
- discriminative learning
- neural network model
- structured output
- latent semantics
- rule extraction
- multi layer perceptron
- classification method
- fuzzy logic
- support vector machine
- artificial neural networks