A Semi-Supervised Learning Framework for TRIZ-Based Chinese Patent Classification.
Lixiao HuangJiasi YuYongjun HuHuiyou ChangPublished in: ICCAI (2020)
Keyphrases
- semi supervised learning
- supervised learning
- improve the classification accuracy
- manifold regularization
- semi supervised classification
- machine learning
- semi supervised
- unlabeled data
- labeled data
- co training
- labeled and unlabeled data
- semi supervised learning setting
- unsupervised learning
- multiple kernel learning
- semi supervised learning algorithms
- regularization framework
- transductive support vector machine
- information retrieval
- pattern recognition
- multi view learning
- text classification
- class labels
- decision trees
- active learning
- label propagation
- discriminative models
- classification accuracy
- feature selection
- graph based semi supervised learning
- data sets
- boosting framework
- labeled instances
- unlabeled samples
- support vector
- classification models
- dimension reduction
- kernel methods
- feature set