Performance of Classifiers on Noisy-Labeled Training Data: An Empirical Study on Handwritten Digit Classification Task.
Irfan AhmadPublished in: IWANN (2) (2019)
Keyphrases
- labeled training data
- handwritten digits
- classification systems
- text classification
- supervised learning
- co training
- labeled data
- labeled and unlabeled data
- training data
- text classifiers
- unlabeled data
- decision trees
- training samples
- unlabeled samples
- support vector
- classification algorithm
- class labels
- feature selection
- semi supervised learning
- classification models
- svm classifier
- training set
- feature set
- semi supervised
- machine learning
- naive bayes
- classification accuracy
- orl face
- unsupervised learning
- labeled examples
- character recognition
- machine learning algorithms
- training examples
- image classification
- decision boundary
- multi view
- high dimensional
- feature space
- object recognition
- feature extraction