Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification.
Janna HastingsMartin GlauerAdel MemarianiFabian NeuhausTill MossakowskiPublished in: J. Cheminformatics (2021)
Keyphrases
- machine learning
- supervised learning
- pattern recognition
- learning algorithm
- learning problems
- learning systems
- decision trees
- inductive learning
- learning tasks
- knowledge acquisition
- unsupervised learning
- statistical learning
- active learning
- machine learning algorithms
- text classification
- classification and regression problems
- domain knowledge
- learning process
- feature construction
- discriminative learning
- application of machine learning methods
- human learning
- data mining
- supervised machine learning
- reinforcement learning
- classification accuracy
- learning phase
- explanation based learning
- machine learning approaches
- support vector machine svm
- knowledge base
- supervised classification
- training data
- incremental learning
- feature vectors
- machine learning methods
- classification algorithm
- background knowledge
- multi category
- model selection
- text mining