Auto-sklearn 2.0: Hands-free automl via meta-learning

M Feurer, K Eggensperger, S Falkner… - Journal of Machine …, 2022 - jmlr.org
Automated Machine Learning (AutoML) supports practitioners and researchers with the
tedious task of designing machine learning pipelines and has recently achieved substantial …

Meta-learning: A survey

J Vanschoren - ar**: A perspective on PCA meta-features
T Horváth, RG Mantovani, AC de Carvalho - Applied Soft Computing, 2023 - Elsevier
Meta-learning, a concept from the area of automated machine learning, aims at providing
decision support for data scientists by recommending a suitable setting (a machine learning …

Ontology-based meta-mining of knowledge discovery workflows

M Hilario, P Nguyen, H Do, A Woznica… - Meta-learning in …, 2011 - Springer
This chapter describes a principled approach to meta-learning that has three distinctive
features. First, whereas most previous work on meta-learning focused exclusively on the …

[PDF][PDF] Understanding machine learning performance with experiment databases

J Vanschoren - lirias. kuleuven. be, no, 2010 - Citeseer
Research in machine learning and data mining can be speeded up tremendously by moving
empirical research results out of people's heads and labs, onto the network and into tools …