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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.
2017
2017
Face Recognition Using Vector Quantization Histogram and Support Vector Machine Classifier
In this paper, we propose a new face recognition method combining Vector Quantization (VQ) method and Support Vector Machine (SVM… 
2017
2017
Enhancing Accuracy of Multi-Class Support Vector Machine by Applying Directed Acyclic Graphs
Multi-class classification algorithm of support vector machine (SVM) has always been a research hotspot. A new multi-class SVM… 
2016
2016
Wind Speed Forecast Based on Support Vector Machine
2013
2013
Automated Flare Prediction Using Extreme Learning Machine
Extreme learning machine (ELM) is a fast learning algorithm of single-hidden layer feedforward neural networks (SLFNs). Compared… 
2008
2008
Fault Condition Detection Based on Wavelet Packet Transform and Support Vector Data Description
In order to solve the problems of correctly identifying fault condition and accurately monitoring fault development in industrial… 
2006
2006
Minimizing Structural Risk on Decision Tree Classification
  • Daeeun Kim
  • Multi-Objective Machine Learning
  • 2006
  • Corpus ID: 30772255
Tree induction algorithms use heuristic information to obtain decision tree classification. However, there has been little… 
2006
2006
Transformation model estimation of image registration via least square support vector machines
2006
2006
Learning of Kernel Functions in Support Vector Machines
The selection and learning of kernel functions is a very important but rarely studied problem in the field of support vector… 
2005
2005
Graph transformer networks for image recognition
This contribution takes the example of a check reading system to discuss the modeling and estimation issues associated with large… 
2004
2004
Structural Risk Minimization on Decision Trees Using an Evolutionary Multiobjective Optimization
Inducing decision trees is a popular method in machine learning. The information gain computed for each attribute and its… 
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