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 "exact learning from an honest teacher that answers membership queries"):
  Abstract: Given a teacher that holds a function $f:X\to R$ from some class of functions $C$. The teacher can receive from the learner an element~$d$ in the domain $X$ (a query) and returns the value of the function in $d$, $f(d)\in R$. The learner goal is to find $f$ with a minimum number of queries, optimal time complexity, and optimal resources. #R##N#In this survey, we present some of the results known from the literature, different techniques used, some new problems, and open problems.

Includes members:
  Member "exact learning of juntas from membership queries":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "group testing an information theory perspective")
  Member "almost optimal cover free families":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deterministic protocols in the sinr model without knowledge of coordinates")
  Member "progress on polynomial identity testing ii":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a generalized sylvester gallai type theorem for quadratic polynomials")
  Member "linear time constructions of some d restriction problems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "learning erd h o s r enyi random graphs via edge detecting queries")
  Member "on exact learning monotone dnf from membership queries":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "adaptive exact learning of decision trees from membership queries")
  Member "learning boolean halfspaces with small weights from membership queries":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "learning disjunctions of predicates")
  Member "bounds on the rate of disjunctive codes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal multistage group testing algorithm for 3 defectives")
  Member "efficient computation of representative sets with applications in parameterized and exact algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "extensor coding")

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.LG(Machine Learning)