Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jun-zhong JI"'
Autor:
Jun Zhong Ji1 (AUTHOR) jjz01@bjut.edu.cn, Lang Jiao1 (AUTHOR), Cui Cui Yang1 (AUTHOR), Jia Wei Lv1 (AUTHOR), Ai Dong Zhang2 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 2014, Vol. 15 Issue 1, p1-26. 26p. 7 Diagrams, 13 Charts, 9 Graphs.
Publikováno v:
Computer Science and Technology.
Publikováno v:
Computer Science and Technology.
Publikováno v:
Acta Automatica Sinica. 35:281-288
Publikováno v:
Acta Automatica Sinica. 35:281-288
To solve the drawbacks of the ant colony optimization for learning Bayesian networks (ACO-B), this paper proposes an improved algorithm based on the conditional independence test and ant colony optimization (I-ACO-B). First, the I-ACO-B uses order-0
Publikováno v:
BMC Bioinformatics
Background Studies of functional modules in a Protein-Protein Interaction (PPI) network contribute greatly to the understanding of biological mechanisms. With the development of computing science, computational approaches have played an important rol
Publikováno v:
Computer Science & Technology - Proceedings of the International Conference (Cst2016); 2016, p64-72, 9p
Publikováno v:
Computer Science & Technology - Proceedings of the International Conference (Cst2016); 2016, p46-54, 9p
Autor:
Chun-Nian Liu, Jun-Zhong Ji
Publikováno v:
Wavelet Analysis and Its Applications, and Active Media Technology.