To Whom it may concern
i've got a problem in applying SVM,
i've got many 10 unbalanced inputs vectors, where each vector belong to a total different set of data, trying to relate them to one output. in a way trying to mimic the role of neural network.
i've managed to do so on one vector of inputs,
so is there anyway how to apply all inputs vector sets to the model,
and how am i gonna consider normalising the data, on what base,
thanks for ur help in advance,
Kindest regards
------------------------------------------------------------------------------------------------------------
Ramzi Fayad
BSc, MSc
PhD Researcher
[log in to unmask]
Phone : +44 (0) 115 951 4149
Fax : +44 (0) 115 951 4000
School of Mechanical, Materials,
Manufacturing Engineering and Operation Management
University of Nottingham
University Park,
Nottingham
NG7 2RD
United Kingdom
---------------------------------------------------
|