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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 Selection
Case-based reasoning
Complexity
Constraint satisfaction
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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
K. Thar
,
Thant Zin Oo
,
Zhu Han
,
C. Hong
Conference on Network and Service Management
2019
Corpus ID: 204958157
Recently, with big data and high computing power, deep learning models have achieved high accuracy in prediction problems…
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2011
2011
Meta-learning for Selecting a Multi-label Classification Algorithm
L. Tenenboim-Chekina
,
L. Rokach
,
Bracha Shapira
IEEE 11th International Conference on Data Mining…
2011
Corpus ID: 10556937
Although various algorithms for multi-label classification have been developed in recent years, there is little, if any…
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2011
2011
Induction and pruning of classification rules for prediction of microseismic hazards in coal mines
M. Sikora
Expert systems with applications
2011
Corpus ID: 44460934
2011
2011
Combining one-class classifiers via meta learning
E. Menahem
,
L. Rokach
,
Y. Elovici
International Conference on Information and…
2011
Corpus ID: 4569017
Selecting the best classifier among the available ones is a difficult task, especially when only instances of one class exist. In…
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2011
2011
Learning about the Learning Process
João Gama
,
P. Kosina
International Symposium on Intelligent Data…
2011
Corpus ID: 29209474
This work addresses the problem of mining data stream generated in dynamic environments where the distribution underlying the…
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2010
2010
A Genetic Programming Approach for Software Reliability Modeling
E. O. Costa
,
A. Pozo
,
S. Vergilio
IEEE Transactions on Reliability
2010
Corpus ID: 5371850
Genetic programming (GP) models adapt better to the reliability curve when compared with other traditional, and non-parametric…
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2008
2008
Perspectives on Team Dynamics: Meta Learning and Systems Intelligence
Jukka Luoma
,
R. Hämäläinen
,
E. Saarinen
2008
Corpus ID: 14902290
Losada observed management teams develop their annual strategic plans in a lab designed for studying team behaviour. Based on…
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2008
2008
Selective generation of training examples in active meta-learning
R. Prudêncio
,
Teresa B Ludermir
International Journal of Hybrid Intelligent…
2008
Corpus ID: 9316534
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each…
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2008
2008
Learning to Learn and Civic Competences: different currencies or two sides of the same coin?
Hoskins Bryony Louise
,
Deakin-Crick Ruth
2008
Corpus ID: 54538138
In the context of the European Union Framework of Key Competences and the need to develop indicators for European Union member…
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2007
2007
Active Selection of Training Examples for Meta-Learning
R. Prudêncio
,
Teresa B Ludermir
International Conference on Health Information…
2007
Corpus ID: 15143600
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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