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: "An O(n log log n Learning Algorithm for DNF under the Uniform Distribution"
  Abstract: We show that a DNF with terms of size at most d can be approximated by a function with at most d O(d log1=") non zero Fourier coefficients such that the expected error squared, with respect to the uniform distribution, is at most ". This property is used to derive a learning algorithm for DNF, under the uniform distribution. The learning algorithm uses queries and learns, with respect to the uniform distribution, a DNF with terms of size at most d in time polynomial in n and d O(d log 1=") . The interesting implications are for the case when " is constant. In this case our algorithm learns a DNF with a polynomial number of terms in time n O(log log n) , and a DNF with terms of size at most O(log n= log log n) in polynomial time.

Connected through hyperedge HE-1 (induced by source paper "Weakly Learning DNF and Characterizing Statistical Query Learning Using Fourier Analysis"):
  with members:
    - "On Learning Visual Concepts and DNF Formulae"
    - "Toward Efficient Agnostic Learning"
    - "A Quantum Computational Learning Algorithm"
    - "Learning Conjunctions of Horn Clauses"
    - "On Learning Read-k-Satisfy-j DNF"
    - "Implementation Issues in the Fourier Transform Algorithm"
    - "Learning Using Group Representations (Extended Abstract)"

Connected through hyperedge HE-2 (induced by source paper "Implementation Issues in the Fourier Transform Algorithm"):
  with members:
    - "Weakly Learning DNF and Characterizing Statistical Query Learning Using Fourier Analysis"

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: Theory