A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation.
Ibrahim YaziciEmre GuresPublished in: WINCOM (2023)
Keyphrases
- load balancing
- cross validation
- high speed train
- machine learning
- model selection
- dynamic load balancing
- support vector
- hyperparameters
- training set
- load balance
- generalization error
- grid computing
- cross validated
- distributed systems
- fault tolerant
- decision trees
- round robin
- peer to peer
- data skew
- mobile agents
- data mining
- load balancing strategies
- feature selection
- learning algorithm
- supervised learning
- support vector machine
- genetic algorithm
- response time
- computational intelligence
- skewed data
- parallel database systems
- load balancing strategy
- active learning
- digital libraries