Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Keyun Hu"'
Autor:
Pingyong Wang, Haibo Wu, Guangwei Zhao, Yuhua He, Weihu Kong, Jian Zhang, Shuimiao Liu, Mengli Liu, Keyun Hu, Lifeng Liu, Yongyang Xu, Zhihong Xu
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0227284 (2020)
Phytophthora blight caused by Phytophthora capsici is a devastating disease for melon plant. However, the underlying resistance mechanisms are still poorly understood. In this study, the transcriptome differences between the resistant ZQK9 and suscep
Externí odkaz:
https://doaj.org/article/21e514ecd1514c8e87a3ef89f68caa0f
Autor:
Zhao Guangwei, Wang Pingyong, Jian Zhang, He Yuhua, Xu Zhihong, Xu Yongyang, Shuimiao Liu, Mengli Liu, Keyun Hu, Haibo Wu, Kong Weihu, Lifeng Liu
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0227284 (2020)
PLoS ONE
PLoS ONE
Phytophthora blight caused by Phytophthora capsici is a devastating disease for melon plant. However, the underlying resistance mechanisms are still poorly understood. In this study, the transcriptome differences between the resistant ZQK9 and suscep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::991678b2b5d9b888a29b3bea0a7d1235
https://doi.org/10.1371/journal.pone.0227284
https://doi.org/10.1371/journal.pone.0227284
Publikováno v:
Visualization in Engineering
Background Project archives are becoming increasingly large and complex. On construction projects in particular, the increasing amount of information and the increasing complexity of its structure make searching and exploring information in the proje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a45a65c38c9952ecd4bb4b1886093ce
https://igi.indrastra.com/items/show/30097
https://igi.indrastra.com/items/show/30097
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 391:2475-2490
The detection of overlapping community structure in networks can give insight into the structures and functions of many complex systems. In this paper, we propose a simple but efficient overlapping community detection method for very large real-world
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d23d2e2f14f5abdcd5e1830930d58c94
https://doi.org/10.1016/j.physa.2011.12.019
https://doi.org/10.1016/j.physa.2011.12.019
Publikováno v:
Electronic Workshops in Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1829d94ed17b5b6d435d0e2b9ef730c6
https://doi.org/10.14236/ewic/hci2009.51
https://doi.org/10.14236/ewic/hci2009.51
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783540419105
PAKDD
PAKDD
In this paper we present a novel approach to the concept approximations in concept lattice. Using the similar idea of rough set theory and unique properties of concept lattice, upper and lower approximations of any object or attribute set can be foun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e583d062c88bb4f28cde38d14bcb7bc6
https://doi.org/10.1007/3-540-45357-1_21
https://doi.org/10.1007/3-540-45357-1_21
Publikováno v:
IEEE International Conference on Systems, Man and Cybernetics.
Based on the study of a text classification technique, we propose a new text classification method which improves the Vector Space Model and Naive Bayesian classifier by using a weight adjustment measure, implement an experimental text classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4621ac12a6a9c0010b59670ab98586c9
https://doi.org/10.1109/icsmc.2002.1176403
https://doi.org/10.1109/icsmc.2002.1176403
Publikováno v:
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).
Introduces a Bayesian method to select best base classifiers for a boosting algorithm that is used for solving text categorization problems. This method is specifically shaped for an improved version of AdaBoost.MH, an effective multi-class multi-lab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc4c64d799b82adc64254f2e132889ad
https://doi.org/10.1109/wcica.2002.1022121
https://doi.org/10.1109/wcica.2002.1022121
Publikováno v:
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).
The vector space model (VSM)-based similarity classifier is the simplest text categorization method. It has a high classification speed, but with low accuracy. The main reason is that the similarity threshold used by the similarity classifier is deci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2025899b7cc167bfb09e9924258c271
https://doi.org/10.1109/wcica.2002.1021496
https://doi.org/10.1109/wcica.2002.1021496
Publikováno v:
Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).
AdaBoost.SZ is a boosting method specifically designed for solving multi-class, multi-label text categorization problems. Fabrizio Sebastiani et al. (2000) provided another idea to improve these base classifiers: combining two or more weak hypotheses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57227316919eca910db05fc9f7d5ef56
https://doi.org/10.1109/wcica.2002.1021505
https://doi.org/10.1109/wcica.2002.1021505