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Generalization error

Known as: Generalisation error, Generalization (disambiguation) 
In supervised learning applications in machine learning and statistical learning theory, generalization error (also known as the out-of-sample error… 
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Related topics

Related topics

16 relations
AlgorithmBias–variance tradeoffBrownBoostCross-validation (statistics)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Empirical analysis of ensemble methods for the classification of robocalls in telecommunications
With the advent of technology, there has been an excessive use of cellular phones. Cellular phones have made life convenient in… 
2011
2011
Maximal Discrepancy for Support Vector Machines
2009
2009
An Approach Using Support Vector Machines for Distance Relay Coordination in Transmission System
This paper presents transmission system distance relaying co-ordination using detailed simulation studies of the apparent… 
2009
2009
Voted Spheres: An Online, Fast Approach to Large Scale Learning
In this paper, we introduce a novel, non-linear, fast, online algorithm for learning on large data sets. This algorithm, which we… 
2008
2008
Localized generalization error based active learning for image annotation
Content-based image auto-annotation becomes a hot research topic owing to the development of image retrieval system and the… 
2007
2007
An empirical study on diversity measures and margin theory for ensembles of classifiers
The main goal of this paper is to investigate the relationship between two theories widely applied to explain the success of… 
2006
2006
Video Annotation by Active Learning and Cluster Tuning
Supervised and semi-supervised learning are frequently applied methods to annotate videos by map..ing low-level features into… 
Highly Cited
2002
Highly Cited
2002
An on-line evaluation framework for recommender systems
Several techniques are currently used to evaluate recommender systems. These techniques involve off-line analysis using… 
2002
2002
T3: A Classification Algorithm for Data Mining
This paper describes and evaluates T3, an algorithm that builds trees of depth at most three, and results in high accuracy whilst… 
2002
2002
The Leave-One-Out Kernel
Recently, several attempts have been made for deriving data-dependent kernels from distribution estimates with parametric models… 
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