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Problem Sets and Programming Assignments (Last updated 04/26/2000)
   
Paper Review Samples (Last updated 03/15/2000)
 
  1. Integrating Inductive Neural Network Learning and Explanation-Based Learning
    1. Aiming Wu
  2. Iterated Phantom Induction: a Little Knowledge Can Go a Long Way
    1. Haipeng Guo
  3. A Divide-and-Conquer Approach to Learning from Prior Knowledge
    1. Pallavi S. Paranjape
  4. Refinement of Approximate Domain Theories by Knowledge-Based Neural Networks
    1. Vrushali Koranne
  5. Incorporating Advice into Agents that Learn from Reinforcements
    1. Steve Gustafson
  6. TD Models: Modeling the World at a Mixture of Time Scales
    1. Prasanna Jayaraman
  7. The Wake-Sleep Algorithm for Unsupervised Neural Networks
    1. Karthik Krisnakumar
 

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Page created: 09/02/1999 
Last updated: 04/26/2000 
William H. Hsu