Self organizing classifiers: first steps in structured evolutionary machine learning.
Danilo Vasconcellos VargasHirotaka TakanoJunichi MurataPublished in: Evol. Intell. (2013)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- machine learning approaches
- supervised classification
- feature selection
- pattern recognition
- information extraction
- neural network
- training data
- roc analysis
- natural language processing
- support vector
- naive bayes
- meta learning
- supervised learning
- inductive learning
- structured data
- classification algorithm
- genetic algorithm
- linear classifiers
- text classification
- training samples
- computer vision
- evolutionary computation
- structured learning
- training examples
- learning classifier systems
- ensemble learning
- explanation based learning
- majority voting
- evolutionary computing
- evolutionary optimization
- classification method
- class labels
- training set
- test set
- knowledge acquisition
- feature set
- support vector machine
- real world
- data mining
- data analysis
- active learning
- knowledge representation
- classification systems
- text mining
- computational intelligence
- model selection
- classification models
- inductive logic programming
- learning problems
- kernel methods
- svm classifier