A limited-size ensemble of homogeneous CNN/LSTMs for high-performance word classification.
Mahya AmeryanLambert SchomakerPublished in: Neural Comput. Appl. (2021)
Keyphrases
- feature selection
- pattern recognition
- training set
- classification accuracy
- machine learning
- decision trees
- automatic classification
- accurate classifiers
- training samples
- neural network
- classification systems
- support vector machine svm
- final classification
- supervised learning
- feature space
- training data
- ensemble classification
- support vector
- convolutional neural network
- classifier ensemble
- classification algorithm
- regression problems
- learning algorithm
- random forests
- data sets
- ensemble classifier
- classification scheme
- concept drifting data streams
- classification models
- ensemble methods
- pattern classification
- machine learning methods
- benchmark datasets
- machine learning algorithms
- model selection
- information extraction
- feature extraction
- face recognition