A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders.
Guillermo López-GarcíaJosé M. JerezLeonardo FrancoFrancisco J. VeredasPublished in: IWANN (1) (2019)
Keyphrases
- transfer learning
- feature extraction
- learning tasks
- restricted boltzmann machine
- reinforcement learning
- knowledge transfer
- denoising
- cross domain
- deep belief networks
- machine learning
- text categorization
- active learning
- feature vectors
- labeled data
- transfer knowledge
- semi supervised learning
- unlabeled data
- machine learning algorithms
- collaborative filtering
- domain adaptation
- feature selection
- multi task
- structure learning
- manifold alignment
- feature space
- target domain
- image processing
- text classification
- text mining
- face recognition
- neural network
- multi task learning
- feature set
- cross domain learning
- deep learning
- natural language processing
- data mining