adding constraints to the objective function with svmtarin
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
I am working on a problem where I have two sets of data- say X (NxT) and Z(KxT). For each z(1xT), I want to classify those X' which are related to the z, from those (X-X') which are not. 1. I have prior information of a relationship binary matrix between Z and X (say C,NxK)), and 2. I know Z and X are negatively correlated. 3. I want to impose sparsity on the number of X' related to each z to reduce false positive I have formulated the problem as below -
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/145233/image.jpeg)
where w is the weight of the classifier, lambda is the sparsity constant. I have used Matlab's svmtrain and svmclassify before on simple data but I am not sure how to add the constraints to the objective function and then use the two functions. Can someone please help me? Thanks!
0 comentarios
Respuestas (0)
Ver también
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!