Regarding Lagrange Multiplier in SVM

Hello all, In my work I am using SVM for classification. I had trained the SVM classifier and also obtained the Lagrangian multiplier (α) which is a column vector .

My query is how we can use this Lagrangian multiplier (α) to predict the labels of the data points.

Any help in this regard will be highly appreciated.

[charu shree]

Any hint or suggestion in this regard will be highly appreciated.

[Torsten]

I think there are only very few people here who know what you are talking about:

SVM ?

trained the SVM classifier ?

Lagrangian multiplier (α) which is a column vector ?

how we can use this Lagrangian multiplier (α) to predict the labels of the data points ?

Maybe you could formulate your problem in a more general - maybe mathematical - form.

[charu shree]

Thank you sir for your response....

I am using the paper " Supervised Learning-Based Semi-Blind Detection for Generalized Space Shift Keying MIMO Systems" for my work.

I am using SVM method for classification. The SVM classifier is trained using the training data in vector having dimension , the labels in vector having dimension .

So as per equation (5) of this paper, I had obtained 16 different α of dimension .

My query in mathematical form is as follows:

How can I predict the labels of the test data say in vector having dimension 404 x 4 ?

[charu shree]

Any hint will help me in moving ahead in tackling this problem...