Friday 23rd of Sept. 2022, Grenoble, France
associated with ECML/PKDD 2022

Meta-knowledge normally captures different aspects of existing (or potential) solutions, including, for instance: which preprocessing methods should be used for the given data; which machine learning algorithms are relevant; which hyperparameters should be considered and how these should be set; and how all these elements should be combined into useful pipelines or procedures. The aim of this workshop is to address the issues related to how (meta-)knowledge can be generated and transferred among different ML and AutoML systems, so that their joint capability to solve problems can be enhanced.