This book presents ground-breaking advances in the domain of causal structure learning. The problem of distinguishing cause from effect (“Does altitude cause

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine l

This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in P

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in