<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>

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2021-01-06T04:07:31.017Z
2021-01-06T12:09:08.997Z
2021-01-06T12:09:08.997Z
Brian O'Donnell
<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>

<machine-learning><terminology><definitions><support-vector-machine>
What are support values in a support vector machine?
axelmukwena
# 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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