Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification.
Segun Taofeek AroyehunJason AngelNavonil MajumderAlexander F. GelbukhAmir HussainPublished in: Neurocomputing (2021)
Keyphrases
- multi task learning
- multi task
- class labels
- learning tasks
- transfer learning
- multiple tasks
- gaussian processes
- classification accuracy
- decision trees
- machine learning
- machine learning algorithms
- binary classification tasks
- image classification
- feature extraction
- support vector
- high order
- information retrieval
- multitask learning
- multi label classification
- multi label
- supervised learning
- feature selection
- theoretical analysis
- knowledge acquisition
- multi class
- incremental learning
- support vector machine
- cross validation
- learning experience
- text classification
- unsupervised learning