SDRDPy: An application to graphically visualize the knowledge obtained with supervised descriptive rule algorithms.
M. Asunción Padilla-RasconP. GonzalezCristóbal J. CarmonaPublished in: CoRR (2024)
Keyphrases
- learning algorithm
- data structure
- knowledge acquisition
- recently developed
- computational complexity
- knowledge base
- computational cost
- computationally efficient
- theoretical analysis
- knowledge extraction
- times faster
- computational efficiency
- benchmark datasets
- semi supervised
- knowledge representation
- domain knowledge
- optimization problems
- machine learning
- worst case
- image segmentation
- supervised learning
- orders of magnitude
- knowledge sharing
- rule sets
- knowledge sources
- significant improvement
- supervised classification
- unsupervised methods