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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.
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… 
2009
2009
Methodology for Designing Reasonably Expressive Mechanisms with Application to Ad Auctions
Mechanisms (especially on the Internet) have begun allowing people or organizations to express richer preferences in order to… 
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… 
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… 
1997
1997
When small disjuncts abound, try lazy learning: A case study
Machine learning is becoming recognised as a source of generic and powerful tools for tasks studied and implemented in language… 
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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