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: "The Task Rehearsal Method of Sequential Learning"
  Abstract: An hypothesis of functional transfer of task knowledge is presented that requires the development of a measure of task relatedness and a method of sequential learning. The task rehearsal method (TRM) is introduced to address the issues of sequential learning, namely retention and transfer of knowledge. TRM is a knowledge based inductive learning system that uses functional domain knowledge as a source of inductive bias. The representations of successfully learned tasks are stored within domain knowledge. Virtual examples generated by domain knowledge are rehearsed in parallel with the each new task using either the standard multiple task learning (MTL) or the MTL neural network methods. The results of experiments conducted on a synthetic domain of seven tasks demonstrate the method's ability to retain and transfer task knowledge. TRM is shown to be effective in developing hypothesis for tasks that suffer from impoverished training sets. Difficulties encountered during sequential learning over the diverse domain reinforce the need for a more robust measure of task relatedness.

Connected through hyperedge HE-1 (induced by source paper "The Functional Transfer of Knowledge for Coronary Artery Disease Diagnosis"):
  with members:
    - "Transfer of Learning by Composing Solutions of Elemental Sequential Tasks"
    - "Learning Sequential Tasks by Incrementally Adding Higher Orders"
    - "Learning One More Thing"

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: Neural_Networks