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Home / Proceedings / AAAI Workshop Papers 2000 /

Learning Statistical Models from Relational Data

Contents

  • Learning Mappings between Data Schemas

    AnHai Doan, Pedro Domingos, and Alon Y. Levy

    PDF
  • Rule Induction from Noisy Examples

    Laura Firoiu

    PDF
  • Learning Probabilistic Relational Models with Structural Uncertainty

    Lise Getoor, Daphne Koller, Benjamin Taskar, and Nir Friedman

    PDF
  • Efficient Mining of Graph-Based Data

    Jesus Gonzalez, Istvan Jonyer, Lawrence B. Holder, and Diane J. Cook

    PDF
  • Interpreting Bayesian Logic Programs

    Kristian Kersting, Luc De Raedt, and Stefan Kramer

    PDF
  • Learning Stochastic Logic Programs

    Stephen Muggleton

    PDF
  • Iterative Classification in Relational Data

    Jennifer Neville, David Jensen

    PDF
  • Using Hierarchies, Aggregates and Statistical Models to Discover Knowledge from Distributed Databases

    Rónán Páircéir, Sally McClean, Bryan Scotney

    PDF
  • A Bayesian Language for Cumulative Learning

    Avi Pfeffer

    PDF

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