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: "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.

Connected through hyperedge HE-1 (induced by source paper "Multipath Execution: Opportunities and Limits"):
  with members:
    - "Exploiting Choice: Instruction Fetch and Issue on an Implementable Simultaneous Multithreading Processor"
    - "Threaded Multiple Path Execution"
    - "Limited Dual Path Execution"

Connected through hyperedge HE-2 (induced by source paper "Confidence Estimation for Speculation Control"):
  with members:
    - "Dynamic Hammock Predication for Non-predicated Instruction Set Architectures"
    - "Limited Dual Path Execution"

Connected through hyperedge HE-3 (induced by source paper "Dynamic Hammock Predication for Non-predicated Instruction Set Architectures"):
  with members:
    - "Exploiting Choice: Instruction Fetch and Issue on an Implementable Simultaneous Multithreading Processor"
    - "Limited Dual Path Execution"
    - "Confidence Estimation for Speculation Control"
    - "A Comparison of Full and Partial Predicated Execution Support for ILP Processors"

Connected through hyperedge HE-4 (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"
    - "d d The Effects of Predicated Execution on Branch Prediction"
    - "Confidence Estimation for Speculation Control"

Connected through hyperedge HE-5 (induced by source paper "Threaded Multiple Path Execution"):
  with members:
    - "Exploiting Choice: Instruction Fetch and Issue on an Implementable Simultaneous Multithreading Processor"
    - "Multipath Execution: Opportunities and Limits"
    - "Limited Dual Path Execution"

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