A Level-wise Taxonomic Perspective on Automated Machine Learning to Date and Beyond: Challenges and Opportunities.
Shubhra Kanti Karmaker SantuMd. Mahadi HassanMicah J. SmithLei XuChengXiang ZhaiKalyan VeeramachaneniPublished in: CoRR (2020)
Keyphrases
- machine learning
- computer vision
- lessons learned
- machine learning methods
- pattern recognition
- real time
- machine learning algorithms
- active learning
- key issues
- real world
- levels of abstraction
- inductive learning
- data mining
- support vector machine
- computational intelligence
- higher level
- technical challenges
- semi automatic
- open issues
- model selection
- knowledge acquisition
- information extraction
- knowledge discovery
- viewpoint
- data analysis
- training data
- decision trees
- genetic algorithm
- neural network