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Article | 10-April-2018

Association Rule Mining Based on Estimation of Distribution Algorithm for Blood Indices

To come over the limitations of Apriori algorithm and association rule mining algorithm based on Genetic Algorithm (GA), this paper proposed a new association rule mining algorithm based on the population-based incremental algorithm (PBIL), which is a kind of distribution estimation algorithms. The proposed association rule-mining algorithm keeps the advantages of GA mining association rules in coding and the fitness function. Through using probability vector possessing learning properties to

Xinyu Zhang, Botu Xue, Guanghu Sui, Jianjiang Cui

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 20–26

Article | 01-June-2015

A NOVEL KNOWLEDGE-COMPATIBILITY BENCHMARKER FOR SEMANTIC SEGMENTATION

vision-based knowledge, then outputs an estimate of the corresponding averaged class-accuracy value. The knowledge encodes three kinds of information, namely: cooccurrence statistics, scene properties and relative positions. We introduce three types of feature vectors for regression. Each specifies the characteristics of a probability vector that captures the compatibility between an annotation and each kind of the knowledge. Experiment results show that the Gradient Boosting regression outperforms

Vektor Dewanto, Aprinaldi, Zulfikar Ian, Wisnu Jatmiko

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1284–1312

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