Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.
Nikolaos NikolaouIngo P. WaldmannAngelos TsiarasMario MorvanBilly EdwardsKai Hou YipGiovanna TinettiSubhajit SarkarJames M. DawsonVadim BorisovGjergji KasneciMatej PetkovicTomaz StepisnikTarek Al-UbaidiRachel Louise BaileyMichael GranitzerSahib JulkaRoman KernPatrick OfnerStefan WagnerLukas HeppeMirko BunseKatharina MorikPublished in: CoRR (2020)
Keyphrases
- lessons learned
- machine learning
- future directions
- case study
- pattern recognition
- machine learning methods
- participatory design
- data mining
- support vector machine
- computer vision
- decision trees
- learning algorithm
- design science
- explanation based learning
- inductive learning
- learning problems
- learning tasks
- machine learning approaches
- learning systems
- machine learning algorithms
- model selection
- natural language processing
- knowledge representation
- active learning
- data analysis
- cooperative
- feature selection
- digital curves
- closed curves
- information extraction
- text mining
- neural network
- computer science
- artificial intelligence
- real world