Weighted Voting System With Unreliable Links

2017 ◽  
Vol 66 (2) ◽  
pp. 339-350 ◽  
Author(s):  
Qiang Liu ◽  
Hailin Zhang
Keyword(s):  
Weighted Voting ◽  
Weighted Voting System ◽  
Voting System ◽  
Unreliable Links

Evaluation of the Distribution of Power in a Weighted Voting System

1980 ◽  
Vol 7 (7) ◽  
pp. 23-33 ◽  
Author(s):  
Yutaka Sayeki ◽  
Yoshinori Tomiyama ◽  
Mikio Tanaka
Keyword(s):  
Weighted Voting ◽  
Weighted Voting System ◽  
Voting System ◽  
Distribution Of Power

scholarly journals Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Zhi Zheng ◽  
Youying Chen ◽  
Liping Chen ◽  
Gongde Guo ◽  
Yongxian Fan ◽  
...  
Keyword(s):  
Signal Peptide ◽  
New Drugs ◽  
Weighted Voting ◽  
Weighted Voting System ◽  
System Experiment ◽  
Voting System ◽  
High Prediction ◽  
Sorting System ◽  
Zip Code ◽  
New Protein

A signal peptide is a short peptide chain that directs the transport of a protein and has become the crucial vehicle in finding new drugs or reprogramming cells for gene therapy. As the avalanche of new protein sequences generated in the postgenomic era, the challenge of identifying new signal sequences has become even more urgent and critical in biomedical engineering. In this paper, we propose a novel predictor called Signal-BNF to predict the N-terminal signal peptide as well as its cleavage site based on Bayesian reasoning network. Signal-BNF is formed by fusing the results of different Bayesian classifiers which used different feature datasets as its input through weighted voting system. Experiment results show that Signal-BNF is superior to the popular online predictors such as Signal-3L and PrediSi. Signal-BNF is featured by high prediction accuracy that may serve as a useful tool for further investigating many unclear details regarding the molecular mechanism of the zip code protein-sorting system in cells.

Proportional quota weighted voting system hierarchies

2009 ◽  
Vol 34 (3) ◽  
pp. 397-410 ◽  
Author(s):  
Dwight R. Bean ◽  
Jane Friedman ◽  
Cameron Parker
Keyword(s):  
Weighted Voting ◽  
Weighted Voting System ◽  
Voting System
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