Scalable reinforcement-learning-based neural architecture search for cancer deep learning research.
Prasanna BalaprakashRomain EgeleMisha SalimStefan M. WildVenkatram VishwanathFangfang XiaTom BrettinRick StevensPublished in: SC (2019)
Keyphrases
- deep learning
- neural architecture
- reinforcement learning
- machine learning
- search space
- unsupervised learning
- learning process
- unsupervised feature learning
- learning algorithm
- neural network
- artificial neural networks
- data sets
- feed forward
- bayesian networks
- active learning
- information extraction
- expert systems
- activation function
- weakly supervised