1. Friday, January 21, 2000
        Integrating Inductive Neural Network Learning and Explanation-Based Learning
           Thrun and Mitchell
            7 pages
            Scheduled presenter: William H. Hsu (on Monday, January 24, 2000)

 2. Wednesday, January 26, 2000
        Iterated Phantom Induction: a Little Knowledge Can Go a Long Way
           Brodie and Dejong
            6 pages
            [This paper is worth 20% (30 points) extra credit.]
            Scheduled presenter: Steven M. Gustafson (on Friday, January 28, 2000)

 3. Monday, January 31, 2000
        A Divide-and-Conquer Approach to Learning from Prior Knowledge
           Chown and Dietterich
            12 pages
            [This paper is worth 10% (15 points) extra credit.]
            Scheduled presenter: Aiming Wu

4. Friday, February 4, 2000
        Refinement of Approximate Domain Theories by Knowledge-Based Neural Networks
           Towell, Shavlik, and Noordewier
            6 pages
            [This paper is worth 6.7% (10 points) extra credit.]
           Scheduled presenter: Li-Jun Wang

5. Friday, February 11, 2000
        Incorporating Advice into Agents that Learn from Reinforcements
           Maclin and Shavlik
            6 pages
            Scheduled presenter: Kiranmai Nandivada

6. Wednesday, February 16, 2000
        TD Models: Modeling the World at a Mixture of Time Scales
           Sutton
            9 pages
            Scheduled presenter: Vrushali Koranne

7. Monday, February 21, 2000
        The Wake-Sleep Algorithm for Unsupervised Neural Networks
           Hinton, Dayan, Frey, and Neal
            12 pages
            [This paper is worth 3.3% (5 points) extra credit.]
            Scheduled presenter: Prasanna Jayaraman

8. Friday, February 25, 2000
        Modular and Hierarchical Learning Systems
            Jordan and Jacobs
            12 pages
            [This paper is worth 6.7% (10 points) extra credit.]
            Scheduled presenter: Afrand Agah

9. Friday, March 3, 2000
        In Defense of Probability  [A hard copy will be distributed in class]
           Cheeseman
            8 pages
            [This paper is worth 6.7% (10 points) extra credit.]
           Scheduled presenter: Pallavi S. Paranjape

10. Wednesday, March 8, 2000
        Learning Bayesian Network Structure from Massive Datasets
           Friedman, Pe'er, Nachman
            10 pages
            [This paper is worth 6.7% (10 points) extra credit.]
            Scheduled presenter: Jin-Cheng Gao
 

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Page created: 01/25/2000 Last updated: 01/25/2000 Songwei Zhou