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 Weighted Majority Algorithm"
  Abstract: fl This research was primarily conducted while this author was at the University of Calif. at Santa Cruz with support from ONR grant N00014-86-K-0454, and at Harvard University, supported by ONR grant N00014-85-K-0445 and DARPA grant AFOSR-89-0506. Current address: NEC Research Institute, 4 Independence Way, Princeton, NJ 08540. E-mail address: nickl@research.nj.nec.com. y Supported by ONR grants N00014-86-K-0454 and N00014-91-J-1162. Part of this research was done while this author was on sabbatical at Aiken Computation Laboratory, Harvard, with partial support from the ONR grants N00014-85-K-0445 and N00014-86-K-0454. Address: Department of Computer Science, University of California at Santa Cruz. E-mail address: manfred@cs.ucsc.edu.

Connected through hyperedge HE-1 (induced by source paper "Online Learning versus O*ine Learning"):
  with members:
    - "How to Use Expert Advice (Extended Abstract)"
    - "The Power of Self-Directed Learning"
    - "Apple Tasting and Nearly One-Sided Learning"

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: Theory