human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Free Energy Minimization Algorithm for Decoding and Cryptanalysis three binary vectors: s of length N"):
  Abstract: where A is a binary matrix. Our task is to infer s given z and A, and given assumptions about the statistical properties of s and n. This problem arises in the decoding of a noisy signal transmitted using a linear code A, and in the inference of the sequence of a linear feedback shift register (LFSR) from noisy observations [1, 2].

Includes members:
  Member "Ensemble Learning and Evidence Maximization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Practical Bayesian Framework for Backprop Networks")
  Member "Developments in Probabilistic Modelling with Neural Networks|Ensemble Learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Ensemble Learning for Hidden Markov Models")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) 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