Feasibility of Active Machine Learning for Multiclass Compound Classification.
Tobias LangFlorian FlachsenbergUlrike von LuxburgMatthias RareyPublished in: J. Chem. Inf. Model. (2016)
Keyphrases
- multi class
- machine learning
- support vector machine
- multiclass classification
- feature selection
- cost sensitive classification
- binary classifiers
- multiclass support vector machines
- multiclass problems
- multi class classifier
- multi class classification
- cost sensitive
- class probabilities
- multiple classes
- binary and multi class
- pattern recognition
- binary classification problems
- multi class boosting
- error correcting output codes
- binary classification
- classification algorithm
- machine learning methods
- decision trees
- machine learning algorithms
- supervised learning
- multiclass svm
- pairwise
- support vector machine svm
- svm classifier
- learning problems
- feature vectors
- feature extraction
- text classification
- binary classification tasks
- single class
- kernel fisher
- generalization ability
- base classifiers
- data mining
- learning algorithm
- support vector
- active learning
- classification accuracy
- decision boundary
- knn
- feature space
- model selection
- semi supervised learning
- multiclass learning
- training samples
- perceptron algorithm
- kernel function
- learning tasks
- neural network