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: "Language Series Revisited: The Complexity of Hypothesis Spaces in ILP"
  Abstract: Restrictions on the number and depth of existential variables as defined in the language series of Clint [Rae92] are widely used in ILP and expected to produce a considerable reduction in the size of the hypothesis space. In this paper we show that this is generally not the case. The lower bounds we present lead to intractable hypothesis spaces except for toy domains. We argue that the parameters chosen in Clint are unsuitable for sensible bias shift operations, and propose alternative approaches resulting in the desired reduction of the hypothesis space and allowing for a natural integration of the shift of bias.

Connected through hyperedge HE-1 (induced by source paper "The Arguments of Newly Invented Predicates in ILP"):
  with members:
    (none)

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: Rule_Learning