Results 61 to 70 of about 7,409 (173)

Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL

IEEE Access, 2019
There has been an increasing interest in detecting community in signed networks because signed networks contain more information (both positive and negative edges) than unsigned networks (only positive edges).
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang   +5 more
doaj   +1 more source

AgeGuess, a Methylomic Prediction Model for Human Ages

Frontiers in Bioengineering and Biotechnology, 2020
Aging was a biological process under regulations from both inherited genetic factors and various molecular modifications within cells during the lifespan.
Xiaoqian Gao, Shuai Liu, Haoqiu Song, Haoqiu Song, Xin Feng, Meiyu Duan, Lan Huang, Fengfeng Zhou   +7 more
doaj   +1 more source

SWPanGAN: A hybrid generative adversarial network for pansharpening

IET Image Processing
Pansharpening is a vital technique in remote sensing that combines a low‐resolution multi‐spectral image with its corresponding panchromatic image to obtain a high‐resolution multi‐spectral image.
Bo Huang, Xiongfei Li, Xiaoli Zhang
doaj   +1 more source

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks

IEEE Access, 2018
Active learning for networked data that focuses on predicting the labels of other nodes accurately by knowing the labels of a small subset of nodes is attracting more and more researchers because it is very useful especially in cases, where labeled data ...
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang   +5 more
doaj   +1 more source

The single-mass variable flavor number scheme at three-loop order

Journal of High Energy Physics
The matching relations in the unpolarized and polarized variable flavor number scheme at three-loop order are presented in the single-mass case. They describe the process of massive quarks becoming light at large virtualities Q 2.
J. Ablinger, A. Behring, J. Blümlein, A. De Freitas, A. von Manteuffel, C. Schneider, K. Schönwald   +6 more
doaj   +1 more source

Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance

Entropy, 2019
Over recent decades, the rapid growth in data makes ever more urgent the quest for highly scalable Bayesian networks that have better classification performance and expressivity (that is, capacity to respectively describe dependence relationships between
LiMin Wang, Yang Liu, Musa Mammadov, MingHui Sun, Sikai Qi   +4 more
doaj   +1 more source

Symbolic Computation Software Composability [PDF]

, 2008
We present three examples of the composition of Computer Algebra Systems to illustrate the progress on a composability infrastructure as part of the SCIEnce (Symbolic Computation Infrastructure for Europe) project1. One of the major results of the project so far is an OpenMath based protocol called SCSCP (Symbolic Computation Software Composability ...
Sebastian Freundt, Peter Horn, Alexander Konovalov 0001, Steve Linton, Dan Roozemond   +4 more
openaire   +1 more source

IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units

IEEE Access, 2020
People are admitted to intensive care units (ICUs) because they need complete support for failing organ systems, constant monitoring, routine nursing care, and treatment.
Zhenkun Shi, Wanli Zuo, Shining Liang, Xianglin Zuo, Lin Yue, Xue Li   +5 more
doaj   +1 more source

General and Local: Averaged k-Dependence Bayesian Classifiers

Entropy, 2015
The inference of a general Bayesian network has been shown to be an NP-hard problem, even for approximate solutions. Although k-dependence Bayesian (KDB) classifier can construct at arbitrary points (values of k) along the attribute dependence spectrum ...
Limin Wang, Haoyu Zhao, Minghui Sun, Yue Ning   +3 more
doaj   +1 more source

ASTSMAC: Application Suitable Time-Slot Sharing MAC Protocol for Vehicular Ad Hoc Networks

IEEE Access, 2019
Vehicles and roadside units can be connected by a vehicular ad hoc network (VANET), which is an important component of future intelligent transport systems that can support various safety and non-safety related services.
Shujing Li, Yanheng Liu, Jian Wang
doaj   +1 more source