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 "A Quantum Computational Learning Algorithm"):
  Abstract: An interesting classical result due to Jackson allows polynomial-time learning of the function class DNF using membership queries. Since in most practical learning situations access to a membership oracle is unrealistic, this paper explores the possibility that quantum computation might allow a learning algorithm for DNF that relies only on example queries. A natural extension of Fourier-based learning into the quantum domain is presented. The algorithm requires only an example oracle, and it runs in O( 2 n ) time, a result that appears to be classically impossible. The algorithm is unique among quantum algorithms in that it does not assume a priori knowledge of a function and does not operate on a superposition that includes all possible basis states.

Includes members:
  Member "Boosting a weak learning algorithm by majority To be published in Information and Computation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Efficient Distribution-free Learning of Probabilistic Concepts")
  Member "Weakly Learning DNF and Characterizing Statistical Query Learning Using Fourier Analysis":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Learning Conjunctions of Horn Clauses")

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