Abduction and induction for learning models of inhibition in metabolic networks.
Alireza Tamaddoni-NezhadRaphael ChaleilAntonis C. KakasStephen MuggletonPublished in: ICMLA (2005)
Keyphrases
- learning models
- metabolic networks
- machine learning
- biological data
- loss function
- semi supervised learning
- learning algorithm
- machine learning algorithms
- learning tasks
- escherichia coli
- conditional random fields
- classification models
- metabolic pathways
- ideally suited
- biologically relevant
- learning problems
- high dimensional
- biological networks
- decision trees
- transfer learning
- higher order
- data sets