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Lazy learning

Known as: Lazy-learning 
In machine learning, lazy learning is a learning method in which generalization beyond the training data is delayed until a query is made to the… 
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Related topics

Related topics

6 relations
Eager learningGaussian processInstance-based learningK-nearest neighbors algorithm

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
An effective pattern-based Bayesian classifier for evolving data stream
2010
2010
A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1
In this paper, a novel prototype reduction algorithm is proposed, which aims at reducing the storage requirement and enhancing… 
2005
2005
Instances Selection Algorithms in the Conjunction with LVQ
This paper can be seen from two sides. From the first side as the answer of the question: how to initialize the Learning Vectors… 
2005
2005
Pruned lazy learning models for time series prediction
This paper presents two improvements of Lazy Learning. Both methods include input selection and are applied to long-term… 
2005
2005
Classification of examples by multiple agents with private features
We consider classification tasks where relevant features are distributed among a set of agents and cannot be centralized, for… 
2002
2002
Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches
1999
1999
The Lazy Learning Toolbox. For Use with Matlab
Lazy learning is a memory-based technique that, once a query is received , extracts a prediction interpolating locally the… 
1997
1997
Lazy Learning for Local Modeling and Control
This paper presents local methods for modeling and control of discrete-time unknown nonlinear dynamical systems, when only a… 
1997
1997
A feature-relevance heuristic for indexing and compressing large case bases
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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… 
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