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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.
2020
2020
Optimizing Correlated Graspability Score and Grasp Regression for Better Grasp Prediction
Grasping objects is one of the most important abilities to master for a robot in order to interact with its environment. Current… 
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… 
2019
2019
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning
There is a long history of using meta learning as representation learning, specifically for determining the relevance of inputs… 
2018
2018
Rethink and Redesign Meta learning
Recently, meta-learning has shown as a promising way to improve the ability to learn from few-data for many computer vision tasks… 
2018
2018
Classification of optical coherence tomography images for diagnosing different ocular diseases
Optical Coherence tomography (OCT) images provide several indicators, e.g., the shape and the thickness of different retinal… 
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… 
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
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… 
Review
2004
Review
2004
From Local to Global Patterns: Evaluation Issues in Rule Learning Algorithms
Separate-and-conquer or covering rule learning algorithms may be viewed as a technique for using local pattern discovery for… 
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