Case Study: Predicting Students Objectivity in Self-evaluation Responses Using Bert Single-Label and Multi-Label Fine-Tuned Deep-Learning Models.
Vlatko NikolovskiDimitar KitanovskiDimitar TrajanovIvan ChorbevPublished in: ICT Innovations (2020)
Keyphrases
- multi label
- learning models
- learning tasks
- multi label classification
- fine tuned
- text categorization
- image classification
- multi label learning
- graph cuts
- image annotation
- semi supervised learning
- multiple labels
- learning algorithm
- binary classification
- fine tuning
- learning experience
- class labels
- learning problems
- loss function
- label space
- label assignment
- text classification
- conditional random fields
- e learning
- learning process
- machine learning
- learning styles
- classification models
- maximum likelihood
- dimensionality reduction
- object recognition
- learning environment
- data sets