Each mapper creates a support vector once the algorithm starts. As a result, the Hadoop cluster will have `N' support vectors. Each mapper parses to the next step by reading data in the form of 〈Instancei,Targeti,type〉. If the `type' field value is `train,' then the support vector...
In our approach, the weights of the classifiers are optimized using genetic algorithm to achieve this goal. GA is used in many distinct optimization concepts because it does not require any particular knowledge about problem domain. First, the GA uses problem space to randomly pick different ...