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 "Improved Bounds about On-line Learning of Smooth Functions of a Single Variable"):
  Abstract: We consider the complexity of learning classes of smooth functions formed by bounding different norms of a function's derivative. The learning model is the generalization of the mistake-bound model to continuous-valued functions. Suppose F q is the set of all absolutely continuous functions f from [0; 1] to R such that jjf 0 jj q 1, and opt(F q ; m) is the best possible bound on the worst-case sum of absolute prediction errors over sequences of m trials. We show that for all q 2, opt(F q ; m) = fi(

Includes members:
  Member "Worst-case Quadratic Loss Bounds for Prediction Using Linear Functions and Gradient Descent":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "ON-LINE LEARNING OF LINEAR FUNCTIONS")
  Member "On the Complexity of Function Learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Toward Efficient Agnostic Learning")
  Member "ON-LINE LEARNING OF LINEAR FUNCTIONS":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Worst-case Quadratic Loss Bounds for Prediction Using Linear Functions and Gradient Descent")

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: Theory