EMMM: A Unified Meta-Model for Tracking Machine Learning Experiments.
Samuel IdowuDaniel StrüberThorsten BergerPublished in: SEAA (2022)
Keyphrases
- metamodel
- machine learning
- development process
- black box
- machine learning methods
- software systems
- modeling language
- life cycle
- reference model
- data model
- uml profile
- model driven
- particle filter
- meta learning
- design patterns
- transformation rules
- computer vision
- visual tracking
- particle filtering
- learning tasks
- object tracking
- real time
- machine learning algorithms
- kalman filter
- information extraction
- data sets
- platform independent
- artificial intelligence
- object oriented
- natural language processing
- support vector machine
- relational databases
- information technology
- database systems
- text mining
- data mining
- software development
- appearance model