Machine Learning of Microbial Interactions Using Abductive ILP and Hypothesis Frequency/Compression Estimation.
Didac Barroso-BergadaAlireza Tamaddoni-NezhadStephen H. MuggletonCorinne VacherNika GalicDavid BohanPublished in: ILP (2021)
Keyphrases
- machine learning
- inductive logic programming
- background knowledge
- explanation based learning
- sequence data
- machine learning methods
- learning algorithm
- compression scheme
- logic programming
- compression ratio
- relational learning
- support vector machine
- data compression
- decision trees
- knowledge acquisition
- compression algorithm
- learning tasks
- parameter estimation
- frequency analysis
- image compression
- supervised learning
- active learning
- inductive learning
- computational biology
- high throughput
- learning systems
- data mining
- computer vision
- feature selection
- video sequences
- natural language processing
- information extraction
- knowledge discovery
- stochastic logic programs
- first order logic
- statistical relational learning
- hypothesis space
- machine learning approaches
- pattern recognition
- domain knowledge
- low frequency
- text mining
- logic programs
- model selection
- relational data
- learning problems
- machine learning algorithms