Series: Challenges in Machine Learning
Series editor: Isabelle Guyon
Production editor: Nicola Talbot
Challenges have become a new way of pushing the frontiers of machine learning research; every year, several competitions are organized and the results are discussed at major conferences. The books of this innovative series collect papers written by successful competitors, reprinted from the Journal of Machine Learning Research and its Workshop and Conference Proceedings series. They also include analyses of the challenges, tutorial material, dataset descriptions, and pointers to data and software. Together with the websites of the challenge competitions, they offer a complete teaching toolkit and a valuable resource for engineers and scientists.
- Causality in Time Series: Challenges in Machine Learning, volume 5