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 "Regression Can Build Predictive Causal Models"):
  Abstract: Covariance information can help an algorithm search for predictive causal models and estimate the strengths of causal relationships. This information should not be discarded after conditional independence constraints are identified, as is usual in contemporary causal induction algorithms. Our fbd algorithm combines covariance information with an effective heuristic to build predictive causal models. We demonstrate that fbd is accurate and efficient. In one experiment we assess fbd's ability to find the best predictors for variables; in another we compare its performance, using many measures, with Pearl and Verma's ic algorithm. And although fbd is based on multiple linear regression, we cite evidence that it performs well on problems that are very difficult for regression algorithms.

Includes members:
  Member "A THEORY OF INFERRED CAUSATION perceive causal relationships in uncon trolled observations. 2. the task":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "A Probabilistic Calculus of Actions")
  Member "Two Algorithms for Inducing Structural Equation Models from Data":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Causal inference, path analysis, and recursive struc-tural equations models. In C. Clogg, editor, Sociological Methodology,")
  Member "Causal inference, path analysis, and recursive struc-tural equations models. In C. Clogg, editor, Sociological Methodology,":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "Two Algorithms for Inducing Structural Equation Models from Data")
  Member "A Statistical Semantics for Causation Key words: causality, induction, learning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "Two Algorithms for Inducing Structural Equation Models from Data")

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: Probabilistic_Methods