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: "quantization of prior probabilities for hypothesis testing"
  Abstract: In this paper, Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and centroid conditions are derived using mean Bayes risk error (MBRE) as a distortion measure for quantization. A high-resolution approximation to the distortion-rate function is also obtained. Human decision making in segregated populations is studied assuming Bayesian hypothesis testing with quantized priors.

Connected through hyperedge HE-1 (induced by source paper "hardware limited task based quantization"):
  with members:
    - "analog to digital compression a new paradigm for converting signals to bits"
    - "performance analysis for channel estimation with 1 bit adc and unknown quantization threshold"
    - "channel estimation and performance analysis of one bit massive mimo systems"
    - "resolution adaptive hybrid mimo architectures for millimeter wave communications"
    - "hybrid analog digital beamforming for massive mimo systems"
    - "narrowband channel estimation for hybrid beamforming millimeter wave communication systems with one bit quantization"
    - "hybrid architectures with few bit adc receivers achievable rates and energy rate tradeoffs"
    - "fundamental distortion limits of analog to digital compression"

Connected through hyperedge HE-2 (induced by source paper "how an electrical engineer became an artificial intelligence researcher a multiphase active contours analysis"):
  with members:
    - "on the safety of machine learning cyber physical systems decision sciences and data products"
    - "olfactory signal processing"
    - "from machine learning to machine reasoning"

Connected through hyperedge HE-3 (induced by source paper "hypothesis testing over the two hop relay network"):
  with members:
    - "distributed hypothesis testing with concurrent detections"
    - "strong converse for hypothesis testing against independence over a two hop network"
    - "distributed hypothesis testing based on unequal error protection codes"
    - "distributed hypothesis testing over discrete memoryless channels"
    - "on hypothesis testing against independence with multiple decision centers"
    - "universal outlier hypothesis testing"
    - "heegard berger and cascade source coding problems with common reconstruction constraints"
    - "cascade and triangular source coding with side information at the first two nodes"

Connected through hyperedge HE-4 (induced by source paper "the non regular ceo problem"):
  with members:
    - "optimal grouping for group minimax hypothesis testing"
    - "quantization of prior probabilities for collaborative distributed hypothesis testing"
    - "rate region of the quadratic gaussian two encoder source coding problem"

Connected through hyperedge HE-5 (induced by source paper "bounded confidence opinion dynamics in a social network of bayesian decision makers"):
  with members:
    - "social teaching being informative vs being right in sequential decision making"
    - "quantization of prior probabilities for collaborative distributed hypothesis testing"

Connected through hyperedge HE-6 (induced by source paper "optimal grouping for group minimax hypothesis testing"):
  with members:
    - "theoretical bounds in minimax decentralized hypothesis testing"
    - "quantization of prior probabilities for collaborative distributed hypothesis testing"
    - "minimax optimal bounds for detectors based on estimated prior probabilities"
    - "bregman voronoi diagrams properties algorithms and applications"

Connected through hyperedge HE-7 (induced by source paper "social teaching being informative vs being right in sequential decision making"):
  with members:
    - "keep ballots secret on the futility of social learning in decision making by voting"
    - "quantization of prior probabilities for collaborative distributed hypothesis testing"
    - "quickest detection with social learning interaction of local and global decision makers"

Connected through hyperedge HE-8 (induced by source paper "quantization of prior probabilities for collaborative distributed hypothesis testing"):
  with members:
    - "distributed consensus algorithms in sensor networks quantized data and random link failures"

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.IT(Information Theory)