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Found 6 papers, 3 papers with code
Schema-Driven Actionable Insight Generation and Smart Recommendation
In natural language generation (NLG), insight mining is seen as a data-to-text task, where data is mined for interesting patterns and verbalised into 'insight' statements.
Autoencoders as Tools for Program Synthesis
Recently there have been many advances in research on language modeling of source code.
Neurogenetic Programming Framework for Explainable Reinforcement Learning
Automatic programming, the task of generating computer programs compliant with a specification without a human developer, is usually tackled either via genetic programming methods based on mutation and recombination of programs, or via neural language models.
BF++: a language for general-purpose program synthesis
Most state of the art decision systems based on Reinforcement Learning (RL) are data-driven black-box neural models, where it is often difficult to incorporate expert knowledge into the models or let experts review and validate the learned decision mechanisms.
Artificial Intelligence in Clinical Health Care Applications: Viewpoint
The idea of Artificial Intelligence (AI) has a long history.
