Exact(7)
Estimation consensus refers to problems in which each agent has an estimate of the parameter of interest, where the parameter of interest can take values over an infinite set or an unknown finite set.
The consensus problems can be categorized into two main groups: estimation consensus and detection consensus.
For distributed estimation, consensus is an important concept and a lot of research efforts have been devoted to it.
While there exists a rich literature on estimation consensus, detection consensus problems only recently started to receive attention.
As a result, their problem immediately takes the form of the traditional average estimation consensus for which a rich literature exists.
In [26], the authors proposed a greedy stepsize sequence design to guarantee the convergence of distributed estimation consensus over a network with noisy links.
Similar(53)
Conventional RANSAC-based algorithm [22] only considers CFC as measure without applying weighting for inliers' QOD and the maximum likelihood estimation sample consensus (MLESAC -based MLESAC -basedbtains the overall error with a comethodionally complicated process.
The guide illustrates the steps involved in preprocessing genotyped SNPs, phasing, haplotype estimation, determining consensus haplotype code, and verification followed by qualitative/quantitative mapping methods using haplotype data.
Size estimations of consensus bands were converted to base pairs in the summary of the T. cacao physical map assembly and for estimates of contig lengths (Tables 2 and 3).
Gene duplication rates in vertebrates have been estimated in a few studies [21], [22], and the consensus estimation is about one duplication per gene per 1000 MYs.
In this paper, we focus on crowd consensus estimation of continuous labels, which is also adaptable to ordinal or binary labels.
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