I wonder why you would want to use pseudo code to describe them. Calling SVM and ANN algorithms is stretching the term (at best). I have looked at some of the pseudo code referenced by others and I do not find it illuminating.
SVM is not an algorithm, but rather a mathematical relationship which leads to an optimisation problem. This problem obviously takes an optimisation algorithm to solve, but that's quite independent of SVM. There is no step leading up the optimisation problem that is naturally described as an algorithm. Instead it is a matter of straight-forward definition of the input.
Algorithms like artificial network (ANN) and support vector machine (SVM) have been proposed to perform binary classification. Although knowledge discovery and data mining techniques have successfully resolved a lot of real -world applications, classifying an imbalanced data remains still full of challenge.
These traditional classification algorithms mentioned above hardly work well for imbalanced dataset. In this dissertation , a novel model on the basis of
memetic algorithm (MA) and support vector machine (SVM) is proposed to perform the classification for large imbalanced dataset. It is named MSVC