Answers.Body: <p>In the least-squares SVM (LS-SVM) the non-zero Lagrange multipliers (<span class="math-container">$\alpha$</span>) are the support values.  The corresponding data points are the support vectors.  Johan Suykens explains this in <a href="https://www.esat.kuleuven.be/sista/natoasi/suykens.pdf" rel="nofollow noreferrer">Least Squares Support Vector Machines</a>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-01-06T04:07:31.017Z
Answers.LastActivityDate: 2021-01-06T12:09:08.997Z
Answers.LastEditDate: 2021-01-06T12:09:08.997Z
Answers.UserDisplayName: Brian O'Donnell
Body: <p>I started reading up on SVM and very little is defined of what are support values. I reckon it's they are denoted as <span class="math-container">$\alpha$</span> in most formulations.</p>
  
Tags: <machine-learning><terminology><definitions><support-vector-machine>
Title: What are support values in a support vector machine?
UserDisplayName: axelmukwena
ThreadText: # What are support values in a support vector machine?
  
  (Asked by: username_0 on 2021-01-05)
  
  I started reading up on SVM and very little is defined of what are support values. I reckon it's they are denoted as $\alpha$ in most formulations.
  
  **Tags:** machine-learning, terminology, definitions, support-vector-machine
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2021-01-06. Score: 2 | Accepted answer
  
  In the least-squares SVM (LS-SVM) the non-zero Lagrange multipliers ($\alpha$) are the support values. The corresponding data points are the support vectors. Johan Suykens explains this in [Least Squares Support Vector Machines](https://www.esat.kuleuven.be/sista/natoasi/suykens.pdf).
  
  
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