Metalearning - A Tutorial

By Christophe G. Giraud-Carrier. 2008

40 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Radwa El Shawi
2. Mohamed Maher
3. Sherif Sakr
4. Yexi Jiang
5. Lei Li
6. Tao Li
7. Liang Tang
8. Guanjie Zheng

Citations in the corpus

• Automated Machine Learning: State-of-The-Art and Open Challenges (2019, background): “There exists a rich literature on using meta models for model configuration recommendations [114, 92, 65, 68, 44].”
• Meta-Learning: A Survey (2018, neutral): “There exists a rich body of earlier work (Brazdil et al., 2009; Lemke et al., 2015; Giraud-Carrier, 2008; Luo, 2016) on building meta-models for algorithm selection (Bensusan and Giraud-Carrier, 2000; Pfahringer et al.”
• Ensemble contextual bandits for personalized recommendation (2014, background): “Meta Learning : In machine learning community, the goal of meta learning is to accumulate experience on the performance of multiple learning algorithms [8].”