Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications.
Chia-Hsiu ChenKenichi TanakaMasaaki KoteraKimito FunatsuPublished in: J. Cheminformatics (2020)
Keyphrases
- learning models
- learning algorithm
- machine learning
- semi supervised learning
- loss function
- learning tasks
- machine learning algorithms
- learning paradigms
- learning problems
- conditional random fields
- neural network
- data mining
- machine learning models
- real world
- object recognition
- information retrieval
- prediction accuracy
- supervised learning
- prior knowledge
- classification models
- support vector
- intermediate concepts