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: "Top-down Induction of Logical Decision Trees"
  Abstract: A first order framework for top-down induction of logical decision trees is introduced. Logical decision trees are more expressive than the flat logic programs typically induced by empirical inductive logic programming systems because logical decision trees introduce invented predicates and mix existential and universal quantification of variables. An implementation of the framework, the Tilde system, is presented and empirically evaluated.

Connected through hyperedge HE-1 (induced by source paper "Generating Declarative Language Bias for Top-Down ILP Algorithms"):
  with members:
    - "Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning"
    - "A Comparison of Pruning Methods for Relational Concept Learning"
    - "Applying ILP to Diterpene Structure Elucidation from 13 C NMR Spectra"
    - "Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail"

Connected through hyperedge HE-2 (induced by source paper "Lookahead and Discretization in ILP"):
  with members:
    - "Solving the Multiple-Instance Problem with Axis-Parallel Rectangles"
    - "Applying ILP to Diterpene Structure Elucidation from 13 C NMR Spectra"
    - "Multi-class problems and discretization in ICL Extended abstract"

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