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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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Related topics

Related topics

12 relations
Algorithm SelectionCase-based reasoningComplexityConstraint satisfaction

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Meta-Learning-Based Deep Learning Model Deployment Scheme for Edge Caching
Recently, with big data and high computing power, deep learning models have achieved high accuracy in prediction problems… 
2011
2011
Meta-learning for Selecting a Multi-label Classification Algorithm
Although various algorithms for multi-label classification have been developed in recent years, there is little, if any… 
2011
2011
Induction and pruning of classification rules for prediction of microseismic hazards in coal mines
2011
2011
Combining one-class classifiers via meta learning
Selecting the best classifier among the available ones is a difficult task, especially when only instances of one class exist. In… 
2011
2011
Learning about the Learning Process
This work addresses the problem of mining data stream generated in dynamic environments where the distribution underlying the… 
2010
2010
A Genetic Programming Approach for Software Reliability Modeling
Genetic programming (GP) models adapt better to the reliability curve when compared with other traditional, and non-parametric… 
2008
2008
Perspectives on Team Dynamics: Meta Learning and Systems Intelligence
Losada observed management teams develop their annual strategic plans in a lab designed for studying team behaviour. Based on… 
2008
2008
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each… 
2008
2008
Learning to Learn and Civic Competences: different currencies or two sides of the same coin?
In the context of the European Union Framework of Key Competences and the need to develop indicators for European Union member… 
2007
2007
Active Selection of Training Examples for Meta-Learning
Meta-learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge… 
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