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Meta learning (computer science)

Meta learning is a subfield of Machine learning where automatic learning algorithms are applied on meta-data about machine learning experiments… 
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Papers overview

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2019
2019
Recently, with big data and high computing power, deep learning models have achieved high accuracy in prediction problems… 
2011
2011
Although various algorithms for multi-label classification have been developed in recent years, there is little, if any… 
2011
2011
Selecting the best classifier among the available ones is a difficult task, especially when only instances of one class exist. In… 
2011
2011
This work addresses the problem of mining data stream generated in dynamic environments where the distribution underlying the… 
2010
2010
Genetic programming (GP) models adapt better to the reliability curve when compared with other traditional, and non-parametric… 
2008
2008
Losada observed management teams develop their annual strategic plans in a lab designed for studying team behaviour. Based on… 
2008
2008
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each… 
2008
2008
In the context of the European Union Framework of Key Competences and the need to develop indicators for European Union member… 
2007
2007
Meta-learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge…