TransNet: a comparative study on breast carcinoma diagnosis with classical machine learning and transfer learning paradigm.
Gunjan ChughShailender KumarNanhay SinghPublished in: Multim. Tools Appl. (2024)
Keyphrases
- transfer learning
- machine learning
- learning tasks
- breast cancer diagnosis
- knowledge transfer
- breast cancer detection
- machine learning and data mining
- machine learning algorithms
- active learning
- reinforcement learning
- cross domain
- labeled data
- structure learning
- manifold alignment
- learning algorithm
- text mining
- text classification
- multi task
- domain adaptation
- learning problems
- multi task learning
- text categorization
- transfer knowledge
- breast cancer
- decision trees
- semi supervised learning
- collaborative filtering
- data analysis
- data mining
- target domain
- artificial intelligence
- unlabeled data
- natural language processing
- cancer diagnosis
- feature selection
- knowledge discovery