Binary text classification
4 papers with code • 1 benchmarks • 1 datasets
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
Using online EP and the central limit theorem we find an analytical approximation to the Bayes update of this posterior, as well as the resulting Bayes estimates of the weights and outputs.
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification
Shallow machine learning strategies showed lower overall micro F1 scores, but still higher than deep learning strategies and the baseline.