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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… 
Review
2013
Review
2013
Investigating Risk Factors Affecting Teenage Pregnancy Rates in the United States
Teenage pregnancy is an issue in the United States and signifies a growing public health concern. Health efforts and research on… 
2011
2011
A Study of Boosting based Transfer Learning for Activity and Gesture Recognition
i ABSTRACT Real-world environments are characterized by non-stationary and continuously evolving data. Learning a classification… 
2010
2010
Sparse Weighted Voting Classifier Selection and its LP Relaxations
We consider a combinatorial optimization problem that generalizes the minimum disagreement halfspace problem; we seek to minimize… 
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… 
1999
1999
Properties of Support Vector Machines for Regression Properties of Support Vector Machines for Regression
In this report we show that the-tube size in Support Vector Machine (SVM) for regression is 2= p 1 + jjwjj 2. By using this… 
1998
1998
Structural risk minimization for reduced-bias time-frequency-based detectors design
Detectors design requires substantial knowledge of the observation statistical properties, conditionally to the competing… 
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