Extreme Learning Machines for Data Classification Tuning by Improved Bat Algorithm.
Adis AlihodzicEva TubaDana SimianViktor TubaMilan TubaPublished in: IJCNN (2018)
Keyphrases
- data sets
- data reduction
- input data
- improved algorithm
- classification algorithm
- noisy data
- preprocessing
- learning algorithm
- extracted features
- synthetic datasets
- large scale data sets
- training data
- support vector machine svm
- database
- classification trees
- extreme learning machines
- knowledge discovery
- neural network
- objective function
- feature extraction
- support vector
- computational complexity
- data structure
- data analysis
- training samples
- classification rate
- search space
- clustering analysis
- irrelevant features
- data sources
- np hard
- labeling process
- bayesian networks
- feature selection
- optimal solution
- missing data
- class labels
- evolutionary algorithm
- particle swarm optimization
- feature space
- simulated annealing
- data points
- classification accuracy
- probabilistic model
- dynamic programming
- xml documents
- k means