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Structural risk minimization

Known as: SRM 
Structural risk minimization (SRM) is an inductive principle of use in machine learning. Commonly in machine learning, a generalized model must be… 
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Related topics

Related topics

10 relations
Alexey ChervonenkisKXENLeast squares support vector machineModel selection

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Design and analysis of capacity models for Lithium-ion battery
Highly Cited
2011
Highly Cited
2011
SVR with hybrid chaotic genetic algorithms for tourism demand forecasting
2011
2011
Road Traffic Freight Volume Forecast Using Support Vector Machine Combining Forecasting
The grey system forecasting model, neural network forecasting model and support vector machine forecasting model are proposed in… 
Highly Cited
2010
Highly Cited
2010
Design of multisensor fusion-based tool condition monitoring system in end milling
Recent advancement in signal processing and information technology has resulted in the use of multiple sensors for the effective… 
Highly Cited
2009
Highly Cited
2009
Support vector machines and its applications in chemistry
Highly Cited
2008
Highly Cited
2008
Rainfall forecasting by technological machine learning models
2007
2007
Structural risk minimization: a robust method for density-dependence detection and model selection
Statistically distinguishing density-dependent from density-independent populations and selecting the best demographic model for… 
Highly Cited
2007
Highly Cited
2007
Classi cation on Pairwise Proximity
2004
2004
Discrete support vector decision trees via tabu search
Highly Cited
1999
Highly Cited
1999
Support Vector Machine Classifiers as Applied to AVIRIS Data
Traditionally, classi ers model the underlying density of the various classes and then nd a separating surface. However density… 
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