Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classification.
Panagiota SpyridonosPanagiotis PetalasDimitris GlotsosDionisis A. CavourasPanagiota RavazoulaGeorge NikiforidisPublished in: J. Comput. Methods Sci. Eng. (2006)
Keyphrases
- comparative evaluation
- probabilistic neural networks
- cancer classification
- support vector
- feature selection
- gene selection
- microarray
- random forest
- gene expression data
- microarray data
- gene expression profiles
- probabilistic neural network
- multilayer perceptron
- neural network
- support vector machine
- logistic regression
- gene expression
- radial basis function
- classification accuracy
- feed forward neural networks
- kernel function
- generalization ability
- experimental conditions
- high dimensionality
- microarray datasets
- gene sets
- power distribution
- feature set
- data mining
- cluster analysis
- support vector machine svm
- text classification
- decision trees
- image processing
- machine learning