A grasshopper optimizer approach for feature selection and optimizing SVM parameters utilizing real biomedical data sets.
Hadeel Tariq IbrahimWamidh Jalil MazherOsman N. UçanOguz BayatPublished in: Neural Comput. Appl. (2019)
Keyphrases
- feature selection
- data sets
- support vector
- feature selection algorithms
- support vector machine
- multi class
- knn
- text categorization
- training set
- support vector machine svm
- microarray data
- classification accuracy
- training data
- measurement data
- neural network
- kernel parameters
- maximum likelihood
- mutual information
- text classification
- optimal parameters
- parameter estimation
- selected features
- high dimensionality
- input features
- small sample
- parameter values
- feature space
- query optimization
- machine learning
- k nearest neighbor
- feature extraction
- learning algorithm
- parameter optimization
- classification performances
- artificial and real data sets
- biomedical literature
- text classifiers
- maximum margin
- high dimensional data
- optimization algorithm
- dimensionality reduction
- input data