NIPS Proceedingsβ

Thomas G. Dietterich

10 Papers

  • A Conditional Multinomial Mixture Model for Superset Label Learning (2012)
  • Collective Graphical Models (2011)
  • Inverting Grice's Maxims to Learn Rules from Natural Language Extractions (2011)
  • Batch Value Function Approximation via Support Vectors (2001)
  • Stabilizing Value Function Approximation with the BFBP Algorithm (2001)
  • State Abstraction in MAXQ Hierarchical Reinforcement Learning (1999)
  • High-Performance Job-Shop Scheduling With A Time-Delay TD(λ) Network (1995)
  • A Comparison of Dynamic Reposing and Tangent Distance for Drug Activity Prediction (1993)
  • Locally Adaptive Nearest Neighbor Algorithms (1993)
  • Memory-Based Methods for Regression and Classification (1993)

    • 2 Books

  • Advances in Neural Information Processing Systems 14 (2001)
  • Advances in Neural Information Processing Systems 13 (2000)