human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent groups of papers sharing a common citing paper.

Details of the hypergraph:
Center node: "Prior Information and Generalized Questions"
  Abstract: This report describes research done within the Center for Biological and Computational Learning in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. This research is sponsored by a grant from National Science Foundation under contract ASC-9217041 and a grant from ONR/ARPA under contract N00014-92-J-1879. The author was supported by a Postdoctoral Fellowship (Le 1014/1-1) from the Deutsche Forschungsgemeinschaft and a NSF/CISE Postdoctoral Fellowship.

Connected through hyperedge HE-1 (induced by source paper "PRIOR KNOWLEDGE AND THE CREATION OF "VIRTUAL" EXAMPLES FOR RBF NETWORKS 1"):
  with members:
    - "Learning networks for face analysis and synthesis"
    - "Regularization Theory and Neural Networks Architectures"

Connected through hyperedge HE-2 (induced by source paper "Regularization Theory and Neural Networks Architectures"):
  with members:
    - "Learning networks for face analysis and synthesis"
    - "Cortical Mechanisms of Visual Recognition and Learning: A Hierarchical Kalman Filter Model"
    - "PRIOR KNOWLEDGE AND THE CREATION OF "VIRTUAL" EXAMPLES FOR RBF NETWORKS 1"
    - "In Advances in Neural Information Processing Systems 8  Gaussian Processes for Regression"
    - "for Projective Basis Function Networks 2m1 Global Form 2m Local Form With appropriate constant factors,"

Connected through hyperedge HE-3 (induced by source paper "Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo"):
  with members:
    - "Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification"

Question: Please tell me which class the center node belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Neural_Networks