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Found 5 papers, 2 papers with code
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system
For this approach we make use of explainable supervised machine learning to (a) identify the types of exceptions and (b) to prioritize which exceptions are more likely to require an intervention or correction by the NCBs.
Desiderata for Explainable AI in statistical production systems of the European Central Bank
Explainable AI constitutes a fundamental step towards establishing fairness and addressing bias in algorithmic decision-making.
Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery
Despite a multitude of algorithms to address the LTD problem that can be found in literature, only little is known about their overall performance with respect to effectiveness (in terms of truth discovery capabilities), efficiency and robustness.
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing
In an extensive empirical experiment over English text corpora we demonstrate that our generalized language models lead to a substantial reduction of perplexity between 3. 1% and 12. 7% in comparison to traditional language models using modified Kneser-Ney smoothing.
