Iterative learning cascaded multiclass kernel based support vector machine for neural spike data classification.
Amir ZjajoRené van LeukenPublished in: CIBCB (2015)
Keyphrases
- support vector machine
- multi class
- multiple classes
- training data
- single class
- data sets
- feature vectors
- multiclass problems
- support vector
- multiclass classification
- classification accuracy
- svm classification
- svm classifier
- cost sensitive classification
- binary classification
- feature selection
- support vector machine svm
- data points
- binary classification problems
- binary classifiers
- multi class classification
- class labels
- iterative learning
- decision trees
- feature space
- decision boundary
- labeled data
- cost sensitive
- classification algorithm
- upper bound
- hyperplane
- high dimensionality
- kernel methods
- benchmark datasets
- machine learning