Preferred Label : Support Vector Network;
Définition CISMeF : The support-vector network is a new learning machine for two-group classification
problems. The machine conceptually implements the following idea: input vectors are
non-linearly mapped to a very high-dimension feature space. In this feature space
a linear decision surface is constructed. Special properties of the decision surface
ensures high generalization ability of the learning machine. The idea behind the support-vector
network was previously implemented for the restricted case where the training data
can be separated without errors.;
Origin ID : M000606099;
Related record
The support-vector network is a new learning machine for two-group classification
problems. The machine conceptually implements the following idea: input vectors are
non-linearly mapped to a very high-dimension feature space. In this feature space
a linear decision surface is constructed. Special properties of the decision surface
ensures high generalization ability of the learning machine. The idea behind the support-vector
network was previously implemented for the restricted case where the training data
can be separated without errors.
