Emergence of a finite-size-scaling function in the supervised learning of the Ising phase transition.
Dongkyu KimDong-Hee KimPublished in: CoRR (2020)
Keyphrases
- phase transition
- supervised learning
- scaling function
- satisfiability problem
- constraint satisfaction
- randomly generated
- np complete
- random constraint satisfaction problems
- hard problems
- sat problem
- np complete problems
- random instances
- cellular automata
- computational complexity
- similarity measure
- image processing
- learning algorithm
- color images
- perspective projection
- random sat
- machine learning