Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimal Crowdsourced Classification with a Reject Option in the Presence
  of Spammers   We explore the design of an effective crowdsourcing system for an $M$-ary
classification task. Crowd workers complete simple binary microtasks whose
results are aggregated to give the final decision. We consider the scenario
where the workers have a reject option so that they are allowed to skip
microtasks when they are unable to or choose not to respond to binary
microtasks. We present an aggregation approach using a weighted majority voting
rule, where each worker's response is assigned an optimized weight to maximize
crowd's classification performance.

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The categories of this paper are: hep-th
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: comp-gas
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The categories of this paper are: nlin
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The categories of this paper are: q-alg
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The categories of this paper are: astro-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-bio
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The categories of this paper are: quant-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: hep-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: funct-an