Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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… 
2016
2016
Wind Speed Forecast Based on Support Vector Machine
2015
2015
Twin support vector machine in linear programs
2013
2013
Prediction of Petroleum Reservoir Properties using Different Versions of Adaptive Neuro-Fuzzy Inference System Hybrid Models
This paper presents a comparative study of the performance of three versions of Adaptive Neuro-Fuzzy Inference System (ANFIS… 
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
The construction of wavelet network for speech signal processing
Wavelet decomposition reconstructs a signal by a series of scaled and translated wavelets. Incorporating discrete wavelet… 
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)