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논문검색

A Small Sample Text Classification Algorithm based on Kernel Density Estimation

목차

Abstract
 1. Introduction
 2. Related Theories
  2.1. Text Classification Problem and Systems
  2.2. Kernel Density Estimation
 3. Algorithm Design
 4. Experiments
  4.1. Experimental Data
  4.2. Indexes of Classification Performance
  4.3. Experimental Method
  4.4. Experimental Result Analysis
 5. Conclusion
 References

저자정보

  • Liu Yang College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China, College of Computer Science and Technology, Changchun Normal University, Changchun, 130032, China
  • Han Liguo College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China
  • Cai Xuesen College of Computer Science and Technology, Changchun Normal University, Changchun, 130032, China

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