Using evolutionary optimization to improve Markov-based classification with limited training data.
Timothy MeekhofRobert B. HeckendornPublished in: GECCO (2005)
Keyphrases
- evolutionary optimization
- training data
- classification accuracy
- supervised learning
- decision trees
- training set
- classification models
- support vector machine
- class labels
- training samples
- training process
- multi objective
- support vector
- image classification
- classification algorithm
- pattern recognition
- training dataset
- feature vectors
- feature extraction
- unsupervised learning
- machine learning
- sufficient training data
- generalization error
- genetic optimization
- text classification
- learning algorithm
- data sets
- support vector machine svm
- test data
- classification rules
- rough sets
- active learning
- feature values
- neural network
- labelled data
- structural design
- real time