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: "for Projective Basis Function Networks 2m1 Global Form 2m Local Form With appropriate constant factors,"
  Abstract: OGI CSE Technical Report 96-006

Connected through hyperedge HE-1 (induced by source paper "Learning networks for face analysis and synthesis"):
  with members:
    - "Active Gesture Recognition using Partially Observable Markov Decision Processes"
    - "A Delay Damage Model Selection Algorithm for NARX Neural Networks"
    - "Equivalence of Linear Boltzmann Chains and Hidden Markov Models sequence L, is: where Z(; A;"
    - "Learning from incomplete data"
    - "PRIOR KNOWLEDGE AND THE CREATION OF "VIRTUAL" EXAMPLES FOR RBF NETWORKS 1"
    - "Regularization Theory and Neural Networks Architectures"
    - "In Advances in Neural Information Processing Systems 8  Gaussian Processes for Regression"
    - "Efficient Implementation of Gaussian Processes"

Connected through hyperedge HE-2 (induced by source paper "From Data Distributions to Regularization in Invariant Learning"):
  with members:
    - "Adaptive Noise Injection for Input Variables Relevance Determination"
    - "Face Recognition: A Hybrid Neural Network Approach"

Connected through hyperedge HE-3 (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 Information and Generalized Questions"
    - "PRIOR KNOWLEDGE AND THE CREATION OF "VIRTUAL" EXAMPLES FOR RBF NETWORKS 1"
    - "In Advances in Neural Information Processing Systems 8  Gaussian Processes for Regression"

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