human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "low size complexity inductive logic programming the east west challenge considered as a problem in cost sensitive classification"
  Abstract: The Inductive Logic Programming community has considered #N#proof-complexity and model-complexity, but, until recently, #N#size-complexity has received little attention. Recently a #N#challenge was issued "to the international computing community" #N#to discover low size-complexity Prolog programs for classifying #N#trains. The challenge was based on a problem first proposed by #N#Ryszard Michalski, 20 years ago. We interpreted the challenge#N#as a problem in cost-sensitive classification and we applied a #N#recently developed cost-sensitive classifier to the competition. #N#Our algorithm was relatively successful (we won a prize). This #N#paper presents our algorithm and analyzes the results of the #N#competition.

Connected through hyperedge HE-1 (induced by source paper "types of cost in inductive concept learning"):
  with members:
    - "technical note bias and the quantification of stability"
    - "connectionist theory refinement genetically searching the space of network topologies"
    - "active learning with statistical models"
    - "cost sensitive classification empirical evaluation of a hybrid genetic decision tree induction algorithm"

Question: Please tell me which class the center node 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)