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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
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
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… 
2004
2004
The University of Amsterdam at Senseval-3: Semantic roles and Logic forms
We describe our participation in two of the tasks organizedwithin Senseval-3: Automatic Labeling of Semantic Roles and… 
1998
1998
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data… 
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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