Electrolyte recommender system for batteries using ensemble Bayesian optimization.
Hiroshi OhnoAkitoshi SuzumuraPublished in: IFAC J. Syst. Control. (2021)
Keyphrases
- recommender systems
- optimization problems
- optimization algorithm
- bayesian networks
- collaborative filtering
- feature selection
- training set
- neural network
- random forests
- information filtering
- optimization process
- ensemble methods
- data driven
- efficient optimization
- monte carlo sampling
- bayesian estimation
- classifier ensemble
- energy efficient
- product recommendation
- user preferences
- recommendation systems
- matrix factorization
- prediction accuracy
- wireless sensor networks
- objective function
- training data
- search engine