Introducing a 'Difficulty Factor' for Dataset Bi-Classification Using SVM.
Luis González AbrilCecilio AnguloPublished in: CCIA (2013)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- svm classification
- classification algorithm
- feature selection
- classification method
- fold cross validation
- svm classifier
- benchmark datasets
- improves the classification accuracy
- feature space
- feature vectors
- multi class classification
- generalization ability
- training set
- classification accuracy
- pattern recognition
- rule based classifier
- decision trees
- text classification
- machine learning
- feature extraction
- fuzzy support vector machine
- unbalanced data
- structured output
- high classification accuracy
- support vector machine classifiers
- supervised learning
- class labels
- feature set
- multi class svm
- text classification tasks
- partially supervised
- cross validation
- feature ranking
- decision boundary
- multi class
- uci datasets
- decision forest
- support vectors
- training dataset
- cost sensitive
- kernel function
- business intelligence
- model selection
- image classification
- training data
- multiclass support vector machines