Information gain with chaotic genetic algorithm for gene selection and classification problem.
Cheng-San YangLi-Yeh ChuangJung-Chike LiCheng-Hong YangPublished in: SMC (2008)
Keyphrases
- information gain
- feature selection
- gene selection
- decision trees
- genetic algorithm
- cancer classification
- microarray data
- classification accuracy
- support vector machine svm
- ovarian cancer
- cancer diagnosis
- chi squared
- dna microarray data
- tumor classification
- text categorization
- gene expression profiles
- support vector machine
- chi square
- microarray
- mutual information
- gene expression data
- support vector
- naive bayes
- feature ranking
- dna microarray
- microarray datasets
- text classification
- feature set
- random forest
- machine learning
- gene expression
- feature subset
- knowledge discovery
- pattern recognition
- training data
- evolutionary algorithm
- computer vision
- model selection
- data sets
- feature space
- feature vectors
- optimization method
- machine learning algorithms
- image classification
- dimensionality reduction