human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "prospect theory based crowdsourcing for classification in the presence of spammers"):
  Abstract: We consider the $M$-ary classification problem via crowdsourcing, where crowd workers respond to simple binary questions and the answers are aggregated via decision fusion. The workers have a reject option to skip answering a question when they do not have the expertise, or when the confidence of answering that question correctly is low. We further consider that there are spammers in the crowd who respond to the questions with random guesses. Under the payment mechanism that encourages the reject option, we study the behavior of honest workers and spammers, whose objectives are to maximize their monetary rewards. To accurately characterize human behavioral aspects, we employ prospect theory to model the rationality of the crowd workers, whose perception of costs and probabilities are distorted based on some value and weight functions, respectively. Moreover, we estimate the number of spammers and employ a weighted majority voting decision rule, where we assign an optimal weight for every worker to maximize the system performance. The probability of correct classification and asymptotic system performance are derived. We also provide simulation results to demonstrate the effectiveness of our approach.

Includes members:
  Member "decision tree design for classification in crowdsourcing systems":
    also connected through other hyperedges:
      (none)
  Member "optimal crowdsourced classification with a reject option in the presence of spammers":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "decision tree design for classification in crowdsourcing systems")
  Member "does confidence reporting from the crowd benefit crowdsourcing performance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "decision tree design for classification in crowdsourcing systems")
  Member "multi object classification via crowdsourcing with a reject option":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "sparse reject option classifier using successive linear programming")
  Member "double or nothing multiplicative incentive mechanisms for crowdsourcing":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "truth discovery via proxy voting")
  Member "reliable crowdsourcing for multi class labeling using coding theory":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "error correcting neural network")
  Member "reputation based incentive protocols in crowdsourcing applications":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "multimedia crowdsourcing with bounded rationality a cognitive hierarchy perspective")
  Member "serf and turf crowdturfing for fun and profit":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "text analysis in adversarial settings does deception leave a stylistic trace")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.HC(Human-Computer Interaction)