DREAMER: a computational framework to evaluate readiness of datasets for machine learning.
Meysam AhangaranHanzhi ZhuRuihui LiLingkai YinJoseph JangArnav P. ChaudhryLindsay A. FarrerRhoda AuVijaya B. KolachalamaPublished in: BMC Medical Informatics Decis. Mak. (2024)
Keyphrases
- computational framework
- machine learning
- computational model
- active vision
- machine learning algorithms
- tensor voting
- learning algorithm
- pattern recognition
- machine learning approaches
- training dataset
- learning tasks
- computational intelligence
- natural language processing
- support vector machine
- computer vision
- supervised learning
- information extraction
- text mining
- support vector
- reinforcement learning
- learning systems
- decision trees
- machine learning methods
- explanation based learning
- artificial intelligence
- machine learning and data mining
- database
- uci machine learning repository
- computational biology
- learning problems
- model selection
- knowledge acquisition
- knowledge base
- feature selection