Safety and Robustness in Decision Making: Deep Bayesian Recurrent Neural Networks for Somatic Variant Calling in Cancer.
Geoffroy Dubourg-FelonneauOmar DarwishChristopher ParsonsDami RebergenJohn W. CassidyNirmesh PatelHarry W. CliffordPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- decision making
- neural network
- feed forward
- complex valued
- recurrent networks
- artificial neural networks
- belief nets
- decision theory
- feedforward neural networks
- breast cancer
- long short term memory
- decision process
- echo state networks
- cascade correlation
- decision support
- decision makers
- nonlinear dynamic systems
- fuzzy logic
- genetic algorithm
- reservoir computing
- bayesian inference
- early detection
- maximum likelihood
- lung cancer
- biologically inspired
- hebbian learning
- back propagation
- chaotic time series
- prior knowledge
- bayesian networks
- machine learning
- data mining