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Instance-based learning

Known as: IBL, Memory-based learning 
In machine learning, instance-based learning (sometimes called memory-based learning) is a family of learning algorithms that, instead of performing… 
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Related topics

Related topics

13 relations
Analogical modelingBias–variance tradeoffClinical decision support systemDeep learning

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Using differential evolution for improving distance measures of nominal values
Review
2014
Review
2014
AN EMPIRICAL DETERMINATION OF THE INTERGALACTIC BACKGROUND LIGHT USING NEAR-INFRARED DEEP GALAXY SURVEY DATA OUT TO 5 μm AND THE GAMMA-RAY OPACITY OF THE UNIVERSE
We extend our previous model-independent determination of the intergalactic background light, based purely on galaxy survey data… 
2011
2011
Optimization of double-side 3D detector technology for first productions at FBK
We report on the optimization of the technology aimed at the production of Double-Sided, Double-Column 3D detectors with full… 
2006
2006
Reasoning by Analogy in Description Logics Through Instance-based Learning
This work presents a method founded in instancebased learning for inductive (memory-based) reasoning on ABoxes. The method, which… 
2006
2006
Classification of gene-expression data: The manifold-based metric learning way
2006
2006
Hybrid Method for Tagging Arabic Text
Many natural language expressions are ambiguous and need to draw on other sources of information to be interpreted… 
2005
2005
Towards Autonomic Virtual Applications in the In-VIGO System
Grid environments enable users to share nondedicated resources that lack performance guarantees. This paper describes the design… 
2005
2005
Classification by Instance-Based Learning Algorithm
The basic k-nearest-neighbor classification algorithm works well in many domains but has several shortcomings. This paper… 
2004
2004
Enriching the Output of a Parser Using Memory-based Learning
We describe a method for enriching the output of a parser with information available in a corpus. The method is based on graph… 
1996
1996
Prababilistic Instance-Based Learning
Traditional instance-based learning methods base their predictions directly on (training) data that has been stored in the memory… 
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