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 "Selective Eager Execution on the PolyPath Architecture"):
  Abstract: Control-flow misprediction penalties are a major impediment to high performance in wide-issue superscalar processors. In this paper we present Selective Eager Execution (SEE), an execution model to overcome mis-speculation penalties by executing both paths after diffident branches. We present the micro-architecture of the PolyPath processor, which is an extension of an aggressive superscalar, out-of-order architecture. The PolyPath architecture uses a novel instruction tagging and register renaming mechanism to execute instructions from multiple paths simultaneously in the same processor pipeline, while retaining maximum resource availability for single-path code sequences. Performance results of our detailed execution-driven, pipeline-level simulations show that the SEE concept achieves a potential average performance improvement of 48% on the SPECint95 benchmarks. A realistic implementation with a dynamic branch confidence estimator can improve performance by as much as 36% for the go benchmark, and an average of 14% on SPECint95, when compared to a normal superscalar, out-of-order, speculative execution, monopath processor. Moreover, our architectural model is both elegant and practical to implement, using a small amount of additional state and control logic.

Includes members:
  Member "Multipath Execution: Opportunities and Limits":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Exploiting Choice: Instruction Fetch and Issue on an Implementable Simultaneous Multithreading Processor")
  Member "Dynamic Hammock Predication for Non-predicated Instruction Set Architectures":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Confidence Estimation for Speculation Control")
  Member "Threaded Multiple Path Execution":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Multipath Execution: Opportunities and Limits")
  Member "Limited Dual Path Execution":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Multipath Execution: Opportunities and Limits")
  Member "Confidence Estimation for Speculation Control":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "Dynamic Hammock Predication for Non-predicated Instruction Set Architectures")

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: Rule_Learning