Developmental Bayesian Optimization of Black-Box with Visual Similarity-Based Transfer Learning.
Maxime PetitAmaury DepierreXiaofang WangEmmanuel DellandréaLiming ChenPublished in: CoRR (2018)
Keyphrases
- black box
- transfer learning
- knowledge transfer
- learning tasks
- black boxes
- cross domain
- reinforcement learning
- labeled data
- multi task learning
- white box
- semi supervised learning
- machine learning
- active learning
- manifold alignment
- transfer knowledge
- test cases
- text mining
- multi task
- domain adaptation
- bayesian networks
- unsupervised learning
- text classification
- machine learning algorithms
- transferring knowledge
- white box testing
- similarity measure
- error rate
- target domain
- text categorization
- unlabeled data
- k nearest neighbor
- maximum likelihood
- data model
- integration testing
- feature space
- case study