Wei Qin, Xiangfeng Luo
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 653-661, 2018, DOI:10.31209/2018.100000032
Abstract Concept learning has attracted considerable attention as a means to tackle
problems of representation and learning corpus knowledge. In this paper, we
investigate a challenging problem to automatically construct a patent concept
learning model. Our model consists of two main processes; which is the
acquisition of the initial concept graph and refined process for the initial concept
graph. The learning algorithm of a patent concept graph is designed based on the
Association Link Network (ALN). A concept is usually described by multiple
documents utilizing ALN here in concept learning. We propose a mixture-ALN,
which add links between documents and the… More >
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