A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
Zhenyu ChenJianping LiLiwei WeiPublished in: Artif. Intell. Medicine (2007)
Keyphrases
- feature selection
- support vector machine
- rule extraction
- gene expression data
- multiple kernel
- tissue samples
- gene selection
- gene expression data sets
- cancer classification
- dna microarray
- cancer diagnosis
- gene expression profiles
- high dimensionality
- multi class
- microarray data
- support vector machine svm
- kernel methods
- support vector
- classification accuracy
- multiple kernel learning
- feature space
- svm classifier
- microarray
- text classification
- feature set
- machine learning
- microarray datasets
- text categorization
- classification algorithm
- kernel function
- classification models
- k nearest neighbor
- rough sets
- feature ranking
- gene expression
- dimensionality reduction
- neural network
- classification rules
- unsupervised learning
- cell nuclei
- training set
- cost sensitive
- data sets
- knn