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Genetic algorithm is one of the commonly used approaches on machine learning. In this paper, we put forward a genetic algorithm approach for pruning decision tree. Binary coding is adopted in which an individual in a population consists of a fixed number of weight that stand for a solution candidate. The evaluation function considers error rate of decision tree over the test set. Three common operators...
To overcome the drawbacks that Nearest Neighbour classification requires huge computation and memory storage, this paper proposes a new algorithm (ISSARC: Iterative Sample Selection Algorithm based on Reachable and Coverage) based on the conceptions of Reachable and Coverage. In this algorithm, a new function is introduced to evaluate the classification ability for each sample. According to the measuring...
Both documents clustering and words clustering are well studied problems. Most existing algorithms cluster documents (advertisement) and words (query) separately but not simultaneously. In this paper we present a novel idea of analyzing both queries and advertisements which occur with queries at the same time. We present an innovative co-clustering algorithm that suggests queries by co-clustering...
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