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: "Threaded Multiple Path Execution"
  Abstract: This paper presents Threaded Multi-Path Execution (TME), which exploits existing hardware on a Simultaneous Multi-threading (SMT) processor to speculatively execute multiple paths of execution. When there are fewer threads in an SMT processor than hardware contexts, threaded multi-path execution uses spare contexts to fetch and execute code along the less likely path of hard-to-predict branches. This paper describes the hardware mechanisms needed to enable an SMT processor to efficiently spawn speculative threads for threaded multi-path execution. The Mapping Synchronization Bus is described, which enables the spawning of these multiple paths. Policies are examined for deciding which branches to fork, and for managing competition between primary and alternate path threads for critical resources. Our results show that TME increases the single program performance of an SMT with eight thread contexts by 14%-23% on average, depending on the misprediction penalty, for programs with a high misprediction rate.

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"
    - "Limited Dual Path Execution"
    - "Selective Eager Execution on the PolyPath Architecture"

Connected through hyperedge HE-2 (induced by source paper "Selective Eager Execution on the PolyPath Architecture"):
  with members:
    - "Multipath Execution: Opportunities and Limits"
    - "Dynamic Hammock Predication for Non-predicated Instruction Set Architectures"
    - "Limited Dual Path Execution"
    - "Confidence Estimation for Speculation Control"

Connected through hyperedge HE-3 (induced by source paper "Exploiting Choice: Instruction Fetch and Issue on an Implementable Simultaneous Multithreading Processor"):
  with members:
    - "Multipath Execution: Opportunities and Limits"
    - "Dynamic Hammock Predication for Non-predicated Instruction Set Architectures"
    - "Converting Thread-Level Parallelism to Instruction-Level Parallelism via Simultaneous Multithreading"

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"
    - "d d The Effects of Predicated Execution on Branch Prediction"
    - "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