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.Request PDF on ResearchGate | Crowd-powered find algorithms | We consider the problem of using humans to find a bounded number of items satisfying
12 Nov 2014 find confidence intervals for worker error rates and to leverage Crowd Algorithms: There has been a lot of recent activity centered around
it takes time to both find a worker and for that worker to complete a task. logical representation of algorithms allows Crowd-Logic to maximally reuse the results
ABSTRACT. We focus on crowd-powered ltering, i.e., ltering a large set of . that we get a signi cant reduction of up to in error (for same cost) by using our
can collectively see patterns, extract insights and draw conclusions from data. We study different models and algorithms for crowdsourcing discovery. the probability density function (pdf) is sliced with a plane at each threshold step and the Alternatively Plamondon modeled movement time as a power model with two
The power of human computation is founded on the capabilities of humans to In this paper we study the problem of finding the centroid of a large set D of items The resulting algorithm, which we call CROWD-MEDIAN, computes a centroid
16 http://www.resultsfromcrowds.com/features/crowdsourcing-landscape/ [Sarma-ICDE14] Crowd-Powered Find Algorithms, Anish Das Sarma et al.,.
Crowd-powered find algorithms. Abstract: We consider the problem of using humans to find a bounded number of items satisfying certain properties, from a data
problems by combining the power of machine and human computation, has gained crowdsourced solutions for conventional algorithms, such as clustering [ ]
Crowd-powered Pattern Mining (10min) msrvideo.vo.msecnd.net/rmcvideos/185336/dl/185336.pdf. 78 .. Crowd-powered find algorithms. ICDE 2014.
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