9 citations · 10 across the 4 of their papers we have counts for
4 papers
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation
Shuyin Xia, Xinyu Bai, Guoyin Wang +4
This paper present a strong data mining method based on rough set, which can realize feature selection, classification and knowledge representation at the same time. Rough set has…
An Efficient and Adaptive Granular-ball Generation Method in Classification Problem
Shuyin Xia, Xiaochuan Dai, Guoyin Wang +2
Granular-ball computing is an efficient, robust, and scalable learning method for granular computing. The basis of granular-ball computing is the granular-ball generation method. T…
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
Yujia Zhai, Elisabeth Giem, Quan Fan +3
Basic Linear Algebra Subprograms (BLAS) is a core library in scientific computing and machine learning. This paper presents FT-BLAS, a new implementation of BLAS routines that not…
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection
Shuyin Xia, Wenhua Li, Guoyin Wang +3
In this paper, we propose and prove the theorem regarding the stability of attributes in a decision system. Based on the theorem, we propose the LRA framework for accelerating roug…