An Application of Low Bias Bagged SVMs to the Classification of Heterogeneous Malignant Tissues.
Giorgio ValentiniPublished in: WIRN (2003)
Keyphrases
- support vector
- support vector machine svm
- classification algorithm
- feature selection
- low variance
- pattern recognition
- support vector machine
- svm classifier
- breast tissue
- classification accuracy
- pattern classification
- machine learning
- feature vectors
- maximum margin
- majority voting
- training set
- generalization ability
- breast cancer
- decision trees
- feature space
- naive bayes
- classification method
- logistic regression
- feature extraction
- cost sensitive
- classification models
- support vector machine classifiers
- decision boundary
- multi class classification
- image analysis
- lung nodules
- neural networks and support vector machines
- roc analysis
- regression problems
- cross validation
- feature set
- multi class
- training data
- feature ranking
- high dimension
- image classification