Introduction to the Special Issue on Meta-Learning

By Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil. 2004

184 citations recorded by the source corpus.

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In Artificial Intelligence

Citations in the corpus

One-shot Learning with Memory-Augmented Neural Networks (2016, background): “This learning is guided by knowledge accrued more gradually across tasks, which captures the way in which task structure varies across target domains (Giraud-Carrier et al., 2004; Rendell et al., 1987; Thrun, 1998).”
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors (2008, methodology): “Although the strict Meta-Learning approach (as described above) has been applied by different authors (such as [2, 4, 9, 14, 15]), certain information loss may be introduced in the definition of the class labels associated to meta-examples.”
Clustering cancer gene expression data: a comparative study (2008, methodology): “A principled way to tackle this problem of predicting which methods would work better for a certain data set with particular data properties (i.e., number of samples, sample dimensionality, array type, etc.) is the use of meta-learning approaches [42].”
MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud (2012, background): “, via expansion or contraction), while procedural bias can be improved by selecting a suitable predictive model or combination of models (Giraud-Carrier et al. 2004; Vilalta and Drissi 2002).”
Meta-Learning with Memory-Augmented Neural Networks (2016, background): “accrued more gradually across tasks, which captures the way in which task structure varies across target domains (Giraud-Carrier et al., 2004; Rendell et al., 1987; Thrun, 1998).”
Using Meta-Learning to Support Data Mining (2004, background): “We also hope to show how recent advances in meta-learning are increasingly filling the gaps in the construction of practical model-selection assistants and task-adaptive learners, as well as in the development of a solid conceptual framework ([6],[7],[28]).”