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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.
2017
2017
Meta-learning for resampling recommendation systems
One possible approach to tackle the class imbalance in classification tasks is to resample a training dataset, i.e., to drop some… 
Review
2016
Review
2016
Survey on Credit Card Fraud Detection Techniques
The credit card has become the most popular mode of payment for both online as well as regular purchase, in cases of fraud… 
2012
2012
Multi-objective optimization and Meta-learning for SVM parameter selection
Support Vector Machines (SVMs) have become a well succeed technique due to the good performance it achieves on different learning… 
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
Music Emotion Classification of Chinese Songs based on Lyrics Using TF*IDF and Rhyme
This paper presents the outcomes of research into an automatic classification system based on the lingual part of music. Two… 
2011
2011
Induction and pruning of classification rules for prediction of microseismic hazards in coal mines
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… 
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… 
2002
2002
Decision Tree-Based Data Characterization for Meta-Learning
Appropriate selection of learning algorithms is essential for the success of data mining. Meta-learning is one approach to… 
2000
2000
Tell me who can learn you and I can tell you who you are: Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only… 
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