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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.
2019
2019
Integration of lazy learning associative classification with kNN algorithm
With the improvement of web sources and the progression of science and innovation, a huge amount of data has been generated and… 
2011
2011
LLAC: Lazy Learning in Associative Classification
Associative classification method applies association rule mining technique in classification and achieves higher classification… 
2009
2009
Optimal Bandwidth Design for Lazy Learning Via Particle Swarm Optimization
Abstract Lazy learning is a memory-based learning techniques, which performs local regression around a point of interest. Because… 
2008
2008
Detecting Suspicious Behavior in Surveillance Images
We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the… 
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… 
2002
2002
Lazy Classifiers Using P-trees
Lazy classifiers store all of the training samples and do not build a classifier until a new sample needs to be classified. It… 
2000
2000
Reliability in example-based parsing
In this paper we introduce an example-based parser for Chinese. One strong point of the parsers is its high reliability. We… 
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… 
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