TransOpt: Transformer-based Representation Learning for Optimization Problem Classification.
Gjorgjina CenikjGasper PetelinTome EftimovPublished in: CoRR (2023)
Keyphrases
- supervised learning
- incremental learning
- learning algorithm
- learning process
- machine learning
- learning problems
- unsupervised learning
- feature representation
- learning tasks
- optimization algorithm
- image classification
- pattern recognition
- active learning
- robust classification
- evolutionary algorithm
- feature extraction
- support vector
- global optimization
- multi category
- structured output
- kernel machines
- discriminative learning
- learning phase
- inductive inference
- decision trees
- automatic classification
- pattern classification
- reinforcement learning
- classification algorithm
- learning systems
- training samples
- image representation
- neural network
- online learning
- optimization problems
- prior knowledge
- fuzzy logic
- support vector machine
- classification accuracy