A Probabilistic Model Checking Approach to Self-adapting Machine Learning Systems.
Maria CasimiroDavid GarlanJavier CámaraLuís RodriguesPaolo RomanoPublished in: SEFM Workshops (2021)
Keyphrases
- model checking
- machine learning systems
- temporal logic
- machine learning
- formal specification
- model checker
- machine learning algorithms
- formal verification
- temporal properties
- learning systems
- automated verification
- symbolic model checking
- finite state
- bayesian networks
- transition systems
- computation tree logic
- epistemic logic
- pspace complete
- bounded model checking
- learning classifier systems
- verification method
- timed automata
- reachability analysis
- asynchronous circuits
- probabilistic model
- probabilistic reasoning
- concurrent systems
- supervised learning algorithms
- formal methods
- reactive systems
- error rate
- linear temporal logic
- fuzzy logic
- deterministic finite automaton
- alternating time temporal logic