Applications of Deep Learning and Reinforcement Learning to Biological Data

no code implementations • 10 Nov 2017 • Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli

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.

reinforcement-learning Reinforcement Learning (RL)