Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting.
Paolo MignoneGianvito PioMichelangelo CeciPublished in: Big Data (2022)
Keyphrases
- transfer learning
- link prediction
- distributed heterogeneous
- labeled data
- supervised learning
- semi supervised learning
- collaborative filtering
- unlabeled data
- active learning
- social networks
- labeled examples
- social network analysis
- random walk
- complex networks
- learning tasks
- semi supervised
- data sources
- knowledge transfer
- multi relational
- entity resolution
- network structure
- machine learning
- domain adaptation
- text classification
- cross domain
- reinforcement learning
- collective classification
- training data
- unsupervised learning
- transfer knowledge
- multi task learning
- structure learning
- training examples
- class labels
- link formation
- data points
- prior knowledge
- learning algorithm
- target domain
- text categorization
- data model
- query processing
- recommender systems
- multi task
- multiple instance learning
- knowledge discovery
- machine learning algorithms
- label information
- training set
- feature selection
- learning problems