20 papers · ranked by Valyu relevance
Jun Liu, Yu Liu, Kai Dong, Ziran Ding + 1 more
Owing to its high-fault tolerance and scalability, the consensus-based paradigm has attracted immense popularity for distributed state estimation. If a target is neither observed by a certain node nor by its neighbors, this node is naive about the target. Some existing algorithms have considered the presence of naive…
Guoliang Liu, Guohui Tian, Yuh-Shyan Chen
This paper focuses on the convergence rate and numerical characteristics of the nonlinear information consensus filter for object tracking using a distributed sensor network. To avoid the Jacobian calculation, improve the numerical characteristic and achieve more accurate estimation results for nonlinear distributed…
Shun Liu, Zhifei Li, Weifang Zhang, Yan Liang
—Wireless sensor network has recently received much attention due to its broad applicability and ease-of-installation. This paper is concerned with a distributed state estimation problem, where all sensor nodes are required to achieve a consensus estimation. The weighted least squares (WLS) estimator is an appealing…
Saptarshi Bandyopadhyay, Soon‐Jo Chung
—We present the Bayesian consensus filter (BCF) for tracking a moving target using a networked group of sensing agents and achieving consensus on the best estimate of the probability distributions of the target's states. Our BCF framework can incorporate nonlinear target dynamic models, heterogeneous nonlinear…
D. Herreros, C.P. Mata, C.O.S. Sorzano, J.M. Carazo
The analysis of structural heterogeneity in CryoEM is experimenting a significant breakthrough toward estimating more accurate, richer, and interpretable conformational landscapes directly derived from experimental data. The increasing number of new methods designed to tackle the heterogeneity challenge reflects these…
Jun-Lin Lin
Measuring the consensus for a group of ordinal-type responses is of practical importance in decision making. Many consensus measures appear in the literature, but they sometimes provide inconsistent results. Therefore, it is crucial to compare these consensus measures, and analyze their relationships. In this study, we…
Zaiwu Gong, Lihong Wang
To reflect the initiative design and initiative of human security management and safety warning, ecological safety assessment is of great value. In the comprehensive evaluation of regional ecological security with the participation of experts, the expert’s individual judgment level, ability and the consistency of the…
Stanislav Birko, Edward S. Dove, Vural Özdemir, Koustuv Dalal
The extent of consensus (or the lack thereof) among experts in emerging fields of innovation can serve as antecedents of scientific, societal, investor and stakeholder synergy or conflict. Naturally, how we measure consensus is of great importance to science and technology strategic foresight. The Delphi methodology is…
Feilong Lin, Wenbai Li, Liyong Yuan
Process parameter estimation, to a large extent, determines the industrial production quality. However, limited sensors can be deployed in a traditional wired manner, which results in poor process parameter estimation in hostile environments. Industrial wireless sensor networks (IWSNs) are techniques that enrich…
Diego Deplano, Mauro Franceschelli, Alessandro Giua
—In this paper we propose a novel consensus protocol for discrete-time multi-agent systems (MAS), which solves the dynamic consensus problem on the max value, i.e., the dynamic max-consensus problem. In the dynamic max-consensus problem to each agent is fed a an exogenous reference signal, the objective of each agent…
Stephen Coleman, Paul D.W. Kirk, Chris Wallace
Cluster analysis is an integral part of precision medicine and systems biology, used to define groups of patients or biomolecules. However, problems such as choosing the number of clusters and issues with high dimensional data arise consistently. An ensemble approach, such as consensus clustering, can overcome some of…
Michael Pearce, Elena A. Erosheva
Rankings and scores are two common data types used by judges to express preferences and/or perceptions of quality in a collection of objects. Numerous models exist to study data of each type separately, but no unified statistical model captures both data types simultaneously without first performing data conversion. We…
Albert B. Kao, Andrew M. Berdahl, Andrew T. Hartnett, Matthew J. Lutz + 4 more
Aggregating multiple non-expert opinions into a collective estimate can improve accuracy across many contexts. However, two sources of error can diminish collective wisdom: individual estimation biases and information sharing between individuals. Here we measure individual biases and social influence rules in multiple…
Byoung-Ju Jeon, Shaoming He
—In this note, the information-weighted consensus filter (ICF) with partial information exchange is proposed to reduce the bandwidth of the signals transmitted between the sensor nodes and guarantee its convergence to the centralized Kalman filter (CKF). In the proposed algorithm, a part of information chosen with the…
Arne Elofsson, Keehyoung Joo, Chen Keasar, Jooyoung Lee + 9 more
Methods for reliably estimating the quality of 3D models of proteins are essential drivers for the wide adoption and serious acceptance of protein structure predictions by life scientists. In this paper, the most successful groups in CASP12 describe their latest methods for Estimates of Model Accuracy (EMA). We show…
Antoine Lacour, Hamza Ibrahim, Andrea Volkamer, Anna K. H. Hirsch
In this study, we introduce DockM8, an innovative open-source platform designed for consensus virtual screening in drug design. Leveraging various docking algorithms and scoring functions, DockM8 provides a highly customizable workflow for structure-based virtual screening. In rigorous evaluations across the DEKOIS…
Joshua Becker, Douglas Guilbeault, Ned P. Smith
Decades of research suggest that information exchange in groups and organizations can reliably improve judgment accuracy in tasks such as financial forecasting, market research, and medical decision-making. However, we show that improving the accuracy of numeric estimates does not necessarily improve the accuracy of…
Benjamin J. Liebeskind, Claire D. McWhite, Edward M. Marcotte
Correctly estimating the age of a gene or gene family is important for a variety of fields, including molecular evolution, comparative genomics, and phylogenetics, and increasingly for systems biology and disease genetics. However, most studies use only a point estimate of a gene’s age, neglecting the substantial…
Wenqisi Pan, Zeyu Lu, Wei Jiang, Johan Lim + 2 more
In meta-analyses of continuous outcomes, the sample mean and standard deviation (SD) are essential for synthesizing effect sizes across studies. However, clinical studies frequently report alternative summary statistics, such as the median, quartiles, and range. To enable inclusion of such studies, various methods have…
Ville Satopää, Lyle Ungar
The weighted average is by far the most popular approach to combining multiple forecasts of some future outcome. This paper shows that both for probability or real-valued forecasts, a non-trivial weighted average of different forecasts is always sub-optimal. More specifically, it is not consistent with any set of…