Multi-class instance-incremental framework for classification in fully dynamic graphs.
Hardeo Kumar ThakurAnand GuptaSreyashi NagRitvik ShrivastavaPublished in: Int. J. Comput. Sci. Eng. (2020)
Keyphrases
- multi class
- error correcting output codes
- support vector machine
- multi class classification
- multiple classes
- multi class classifier
- binary and multi class
- multiclass classification
- class probabilities
- multiple instance learning
- kernel fisher
- binary classifiers
- multi class boosting
- probabilistic boosting tree
- cost sensitive
- multi class classifiers
- multiclass problems
- multi class svm
- single class
- classification accuracy
- binary classification
- object detection
- feature vectors
- multi task
- multi class svms
- image classification
- pairwise
- support vector
- support vector machine svm
- feature selection
- supervised learning
- protein classification
- multi class problems
- training set
- decision trees
- kernel logistic regression
- machine learning
- binary classification problems
- kernel learning
- base classifiers
- cross validation
- svm classifier
- k nearest neighbor
- feature set