Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples.
Adam HandkeDamian JózwiakPiotr KaminskiMichal WisniewskiMilosz KadzinskiPublished in: GECCO Companion (2023)
Keyphrases
- learning algorithm
- learning models
- reinforcement learning
- online learning
- learning systems
- learning process
- noise tolerant
- computational cost
- theoretical analysis
- learning paradigms
- data sets
- computational complexity
- knowledge acquisition
- computationally efficient
- positive examples
- learning tasks
- learning problems
- negative examples
- worked examples
- inductive inference
- machine learning algorithms
- constraint satisfaction problems
- supervised learning
- significant improvement
- feature selection
- machine learning