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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
2015
2015
Sustainable Development Evaluation Based on Support Vector Machine and Principle Component Analysis
Sustainable development evaluation is an important theme in sustainable development research. Aim to acurratly measure the… 
2011
2011
Study on the Support Vector Regression Model for Order's Prediction
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
Transformation model estimation of image registration via least square support vector machines
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… 
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… 
2000
2000
Genetic algorithm optimize neural network based on structural risk minimization
The paper demonstrates a method for optimizing a neural network based on structural risk minimization (SRM). The method combines… 
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