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: "d d The Effects of Predicated Execution on Branch Prediction"
  Abstract: This paper analyzes a variety of existing predication models for eliminating branch operations, and the effect that this elimination has on the branch prediction schemes in existing processors, including single issue architectures with simple prediction mechanisms, to the newer multi-issue designs with correspondingly more sophisticated branch predictors. The effect on branch prediction accuracy, branch penalty and basic block size is studied.

Connected through hyperedge HE-1 (induced by source paper "Limited Dual Path Execution"):
  with members:
    - "Multipath Execution: Opportunities and Limits"
    - "Dynamic Hammock Predication for Non-predicated Instruction Set Architectures"
    - "Threaded Multiple Path Execution"
    - "Selective Eager Execution on the PolyPath Architecture"
    - "Confidence Estimation for Speculation Control"

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