Machine learning phase transitions: Connections to the Fisher information.
Julian ArnoldNiels LörchFlemming HoltorfFrank SchäferPublished in: CoRR (2023)
Keyphrases
- phase transition
- fisher information
- machine learning
- constraint satisfaction
- random constraint satisfaction problems
- information geometry
- euclidean space
- np complete
- cellular automata
- random instances
- positive definite
- probability density function
- noise level
- learning algorithm
- support vector machine
- machine learning methods
- geodesic distance
- special case
- kullback leibler divergence
- multidimensional scaling
- exponential family
- free energy
- kernel methods
- high dimensional
- statistical methods