The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge.
Paulo J. L. AdeodatoAdrian L. ArnaudGermano C. VasconcelosRodrigo C. L. V. CunhaTarcísio B. GurgelDomingos S. M. P. MonteiroPublished in: IJCNN (2009)
Keyphrases
- feature extraction
- mlp neural networks
- decision trees
- pattern classification
- image classification
- pattern recognition
- feature vectors
- feature space
- machine learning
- support vector machine svm
- feature set
- fuzzy artmap
- multi layer perceptron
- training set
- extracted features
- feature extraction and classification
- majority voting
- random forest
- classification accuracy
- image processing
- feature selection
- neural network
- learning algorithm
- text classification
- support vector
- supervised learning
- support vector machine
- ensemble methods
- base classifiers
- error rate
- classifier ensemble
- dimensionality reduction
- principal component analysis