Heterogeneous ensemble machine learning to predict the asiaticoside concentration in centella asiatica urban.
Keartisak SriprateepSarinya Sala-NgamandSurajet KhonjunMing-Lang TsengThanatkij SrichokNatthapong NanthasamroengRapeepan PitakasoNarut ButployPublished in: Intell. Syst. Appl. (2024)
Keyphrases
- machine learning
- learning algorithm
- machine learning methods
- ensemble learning
- feature selection
- random forest
- ensemble methods
- data mining
- decision trees
- pattern recognition
- computer science
- active learning
- natural language processing
- inductive learning
- neural network
- learning problems
- learning systems
- urban areas
- random forests
- model selection
- statistical methods
- knowledge acquisition
- knowledge discovery
- training set
- reinforcement learning
- learning tasks
- semi supervised learning
- inductive logic programming
- data analysis
- training data
- heterogeneous data
- multiple classifier systems
- neural network ensemble