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: "Comparison of Neural and Statistical Classifiers| Theory and Practice"
  Abstract: Research Reports A13 January 1996

Connected through hyperedge HE-1 (induced by source paper "Evaluation of Pattern Classifiers for Fingerprint and OCR Applications"):
  with members:
    - "Learning networks for face analysis and synthesis"
    - "Face Recognition: A Hybrid Neural Network Approach"

Connected through hyperedge HE-2 (induced by source paper "The Pandemonium System of Reflective Agents"):
  with members:
    - "Multiple Network Systems (Minos) Modules: Task Division and Module Discrimination 1"
    - "Learning from Examples, Agent Teams and the Concept of Reflection"

Connected through hyperedge HE-3 (induced by source paper "Recognizing Handwritten Digits Using Mixtures of Linear Models"):
  with members:
    - "Data Mining for Association Rules with Unsupervised Neural Networks"
    - "Data Mining for Association Rules with Unsupervised Neural Networks"
    - "Factor Analysis Using Delta-Rule Wake-Sleep Learning"
    - "Mixtures of Probabilistic Principal Component Analysers"
    - "In  Fast Non-Linear Dimension Reduction"
    - "The EM Algorithm for Mixtures of Factor Analyzers"
    - "Constraint Tangent Distance for On-line Character Recognition"

Connected through hyperedge HE-4 (induced by source paper "Hierarchical Mixtures of Experts and the EM Algorithm"):
  with members:
    - "Validation of Average Error Rate Over Classifiers"
    - "A HIERARCHICAL COMMUNITY OF EXPERTS"
    - "A Modular Q-Learning Architecture for Manipulator Task Decomposition `Data storage in the cerebellar model ar"
    - "Supervised learning from incomplete data via an EM approach"
    - "A Statistical Approach to Decision Tree Modeling"
    - "On learning hierarchical classifications"
    - "Using Neural Networks for Descriptive Statistical Analysis of Educational Data"
    - "Factorial Learning and the EM Algorithm"

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