Self-learning locally-optimal hypertuning using maximum entropy, and comparison of machine learning approaches for estimating fatigue life in composite materials.
Ismael Ben-YelunMiguel Diaz-LagoLuis Saucedo-MoraMiguel Angel SanzRicardo CalladoFrancisco Javier MontánsPublished in: CoRR (2022)
Keyphrases
- maximum entropy
- machine learning approaches
- locally optimal
- composite materials
- globally optimal
- machine learning methods
- markov models
- maximum entropy principle
- machine learning algorithms
- machine learning
- transformation based learning
- conditional random fields
- minimum cross entropy
- optimal solution
- iterative scaling
- principle of maximum entropy
- class conditional
- data mining methods
- mechanical properties
- maximum entropy model
- dynamic programming
- data streams
- image segmentation