Symbolic, Neural, and Bayesian Machine Learning Models for Predicting Carcinogenicity of Chemical Compounds.
Dennis BahlerBrian StoneCarol WellingtonDouglas W. BristolPublished in: J. Chem. Inf. Comput. Sci. (2000)
Keyphrases
- machine learning models
- chemical compounds
- drug discovery
- spam filtering
- machine learning algorithms
- machine learning approaches
- structural features
- learning models
- graph data
- neural network
- graph kernels
- machine learning
- graph databases
- biological networks
- predictive model
- bayesian networks
- subgraph isomorphism
- gaussian processes
- collaborative filtering
- decision trees
- learning algorithm