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Results

214 053 results (0,456s)

Result

Support Vector Machines (SVM)

Principles of Support Vector Machines (SVM) methods, Vapnik-Chervonenkis distance, construction and propertie of kernels and properties of SVM-models a their prediction....

BB - Aplikovaná statistika, operační výzkum

  • 2011
  • D
Result

The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE

preprocessing. By combining RFE and SVM, a novel feature selection method SVM-RFE is introduced. Then integrating this feature selection method and SVM modelling method of this method is...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2011
  • D
Result

Wages Forecasting Using Box ? Jenkins Methodology and an SVM Machine

with those obtained using Box- Jenkins methodology and SVM method.The purpose of the paper is to demonstrate the overall developing steps of the Box-Jenkins time series modeling and the SVM´s modelling approach. are used f...

AH - Ekonomie

  • 2008
  • Jx
Result

Using Support Vector Machines in Fuzzy Classification

In this work we propose a new method for fuzzy classification based on the soft margin support vector machines classifier (C-SVM). The decision boundary and slack variables obtained from C-SVM are used for the definition of...

IN - Informatika

  • 2007
  • D
Result

ARMA Models Versus an SVM Model Applied to Wages Time Series Modelling and Forecasting.

approximation and forecasting abilities with those obtained using SVM´s method.We investigate the quantifying of statistical and econometric structural model parameters of average nominal wages in Slovak economy. SVM´s mod...

AH - Ekonomie

  • 2010
  • D
Result

ECG signal classification based on SVM

Cardiovascular diseases nowadays represent the most common cause of death in Western countries. Long-term ECG recording is modern method, because it allows to detect sporadically occurring pathology. We designed an automatic classifier to de...

Robotics and automatic control

  • 2016
  • O
  • Link
Result

SVM CLASSIFIERS CREATION IN PARALLEL CONSTRAINED ENVIRONMENT

Support Vector Machines (SVM) classification is one of the most frequently used classification methods based on
machine learning used today. SVMs, however, are dependent on many parameters and settings and so it is suita...

IN - Informatika

  • 2010
  • D
Result

String Kernel Based SVM for Internet Security Implementation

For network intrusion and virus detection, ordinary methods detect malicious kernel based SVM (support vector machine) supervised machine learning. The proposed method is capable of detecting network attack without known/ea...

JC - Počítačový hardware a software

  • 2009
  • D
Result

Comparison of Statistical Models Against an SVM Model for Wages Time Series Modeling and Forecasting

In Support Vector Machines (SVM´s), a non-linear model is estimated based risk (approximation error), whereas in the Box-Jenkins method the ARMA model orders parametersof average nominal wages in Slovak economy. SVM´s model...

AH - Ekonomie

  • 2008
  • D
Result

Automated Modelling and an SV Machine Applied to Inflation Modelling

using SVM´s method. Some methodological contributions are made to dynamic and SVM´sIn Support Vector Machines (SVM´s), a non-linear model is estimated based on solving a Quadratic Programming (QP) problem. Dynamic...

AH - Ekonomie

  • 2005
  • Jx
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