Earticle

초록

영어

The knowledge transfer learning can generalize across domains where the types of objects and variables are different. Previous studies ignored connectivity and creativity of domain knowledge. Thus, these studies just transfer knowledge from a source domain to a target domain that not effectively use the knowledge from other domains. We proposed a method, called Multi-domain second order knowledge integration (MSKI), for integrating to address this problem. We hybridize and create new knowledge, which is formalized into an uncertain hypergraph. Then, we proposed a method to mine frequent sub-hypergraph from the uncertain hypergraph (MFS-UHG). The frequent sub-hypergraphs are pivot knowledge, which has to be transferred with high priority. We embed the pivot knowledge in the progress of MLN structure learning. The experimental evaluation on four domain datasets shows that the MSKI outperforms state-of-the-art MLN-based transfer learning.

목차

Abstract
 1. Introduction
 2. Uncertain Hypergraph
  2.1. Formalization of Uncertain Hypergraph
 3. Frequent Sub-Hypergraph Mining
 4. Knowledge Integration
 5. Mining Frequent Sub-Hypergraph
  5.1. Hypergraph DFS Cannoail Code
  5.2. Hypergraph DFS Code and Lexico Order
 6. Knowledge Transfer
 7. Experiment
 8. Conclusion and Future Work
 Acknowledgements
 References

키워드

저자

• Xing Wang [ Department of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, P. R. China, 150001 ]
• Bin-Xing Fang [ Department of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, P. R. China, 150001 ]
• Hui He [ Department of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, P. R. China, 150001 ]
• Hong-Li Zhang [ Department of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, P. R. China, 150001 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605