Symbolic Learning for Improving the Performance of Transversal-Computation Algorithms.
Víctor Iván González-GuevaraSalvador Godoy-CalderónEduardo Alba-CabreraHiram CalvoPublished in: IEEE Access (2019)
Keyphrases
- learning algorithm
- learning process
- learning systems
- theoretical analysis
- online learning
- learning problems
- learning tasks
- significant improvement
- computational cost
- machine learning algorithms
- computational complexity
- orders of magnitude
- computational efficiency
- associative learning
- recommender systems
- prior knowledge
- machine learning
- computationally efficient
- training set
- reinforcement learning
- high level
- incremental learning
- learning models