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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
Algorithm
Bias–variance tradeoff
BrownBoost
Cross-validation (statistics)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Optimizing an artificial immune system algorithm in support of flow-Based internet traffic classification
Brian Schmidt
,
Ala Al-Fuqaha
,
Ajay K. Gupta
,
D. Kountanis
Applied Soft Computing
2017
Corpus ID: 8743247
Highly Cited
2014
Highly Cited
2014
Geometric Optimum Experimental Design for Collaborative Image Retrieval
Lining Zhang
,
Lipo Wang
,
Weisi Lin
,
Shuicheng Yan
IEEE transactions on circuits and systems for…
2014
Corpus ID: 836606
Relevance feedback (RF) schemes have been widely designed to improve the performance of content-based image retrieval. Despite…
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2012
2012
Cost-conscious comparison of supervised learning algorithms over multiple data sets
Aydin Ulas
,
O. T. Yildiz
,
Ethem Alpaydin
Pattern Recognition
2012
Corpus ID: 2845872
Highly Cited
2009
Highly Cited
2009
Diversity of ability and cognitive style for group decision processes
D. West
,
S. Dellana
Information Sciences
2009
Corpus ID: 4427716
Highly Cited
2007
Highly Cited
2007
Feature space perspectives for learning the kernel
C. Micchelli
,
M. Pontil
Machine-mediated learning
2007
Corpus ID: 16399602
In this paper, we continue our study of learning an optimal kernel in a prescribed convex set of kernels (Micchelli & Pontil…
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Highly Cited
2004
Highly Cited
2004
Model selection of SVMs using GA approach
Peng-Wei Chen
,
Jung-Ying Wang
,
Hahn-Ming Lee
IEEE International Joint Conference on Neural…
2004
Corpus ID: 15790005
A new automatic search methodology for model selection of support vector machines, based on the GA-based tuning algorithm, is…
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Highly Cited
2004
Highly Cited
2004
Feature Selection for Support Vector Machines Using Genetic Algorithms
Holger Fröhlich
,
O. Chapelle
,
B. Scholkopf
Int. J. Artif. Intell. Tools
2004
Corpus ID: 39780076
The problem of feature selection is a difficult combinatorial task in Machine Learning and of high practical relevance, e.g. in…
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Highly Cited
2003
Highly Cited
2003
Hyperparameter design criteria for support vector classifiers
D. Anguita
,
S. Ridella
,
F. Rivieccio
,
R. Zunino
Neurocomputing
2003
Corpus ID: 34804952
Highly Cited
2002
Highly Cited
2002
An on-line evaluation framework for recommender systems
Conor Hayes
,
P. Cunningham
2002
Corpus ID: 7115683
Several techniques are currently used to evaluate recommender systems. These techniques involve off-line analysis using…
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2000
2000
Convergence of Large Margin Separable Linear Classification
Tong Zhang
Neural Information Processing Systems
2000
Corpus ID: 7956241
Large margin linear classification methods have been successfully applied to many applications. For a linearly separable problem…
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