A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods

Medicine & Life Sciences

• Monte Carlo Method 100%
• Psychological Signal Detection 96%
• Markov Chains 96%
• Learning 50%
• Joints 49%
• ROC Curve 47%
• Machine Learning 15%
• Computer Simulation 13%

Engineering & Materials Science

• Signal detection 77%
• Monte Carlo methods 74%
• Supervised learning 73%
• Markov chains 67%
• Imaging systems 24%
• Convolutional neural networks 10%
• Machine learning 8%
• Set theory 7%
• Computer simulation 6%