Main disease classification of intermittent claudication via L1-regularized SVM.
Tetsuyou WatanabeTakeshi YoneyamaYasumitsu ToribatakeHiroyuki HayashiPublished in: EMBC (2013)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification method
- svm classifier
- classification algorithm
- generalization ability
- training set
- classification accuracy
- svm classification
- feature selection
- feature space
- pattern recognition
- improves the classification accuracy
- support vector machine classifiers
- feature vectors
- feature extraction
- multi class classification
- machine learning
- high classification accuracy
- knn
- partially supervised
- decision trees
- cost sensitive
- structured output
- classification models
- pattern classification
- training data
- multi class svm
- unbalanced data
- supervised learning
- multiple criteria linear programming
- standard svm
- disease diagnosis
- fold cross validation
- decision boundary
- support vectors
- binary classification
- cross validation
- class labels
- machine learning algorithms
- kernel function
- training samples
- k nearest neighbor
- model selection