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Applications of Deep Learning and Reinforcement Learning to Biological Data
2018
IEEE Transactions on Neural Networks and Learning Systems
Rapid advances of hardware-based technologies during the past decades have opened up new possibilities for Life scientists to gather multimodal data in various application domains (e.g., Omics, Bioimaging, Medical Imaging, and [Brain/Body]-Machine Interfaces), thus generating novel opportunities for development of dedicated data intensive machine learning techniques. Overall, recent research in Deep learning (DL), Reinforcement learning (RL), and their combination (Deep RL) promise to
doi:10.1109/tnnls.2018.2790388
pmid:29771663
fatcat:6r63zihrfvea7cto4ei3mlvqtu