CS 717: Statistical Relational Learning

Instructor: Ganesh Ramakrishnan

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  • Current Course Calendar(2012)
  • Old Course Calendar(2011)

    • Class Timings, Venue and Grading

    Introduction and Grading
    Time: Mondays and Thursdays, 2:00-3:30 PM
    Venue: SIC 305, KReSIT
    Credit/Audit Requirements Approximate credit structure
  • 15% Mid-semester exam
  • 30% End semester exam
  • 30% Project
  • 15% Reading Assignments (Atleast)
  • 10% Quizzes (Upto)
  • Audit students have to perform assignments and project.


    • Reference Books

    1. Introduction to Statistical Relational Learning, Edited by Lise Getoor and Ben Taskar, Published by The MIT Press.
    2. Probabilistic Inductive Logic Programming, Edited by De Raedt, L.; Frasconi, P.; Kersting, K.; Muggleton, S.H., Published by Springer Verlag, Lecture Notes in Artificial Intelligence.
    3. Inductive Logic Programming: Techniques and Applications (Free download), by N. Lavrac and S. Dzeroski. Ellis Horwood, New York, 1994.
    4. Relational Data MiningSaso Dzeroski and Nada Lavrac, editors, Springer, Berlin, 2001.
    5. Pattern Recognition and Machine Learning, Bishop, Christopher M., Springer, Information Science and Statistics Series

    Reference Slides

    1. Introductory Slides to Probabilistic Logical and Relational Learning by James Cussens and Kristian Kersting, 2004.
    2. Statistical Relational Learning: A Tutorial by Lisa Getoor, 2007.


    Lecture Notes

    Exercises

    Programming Exercises

    Project and Grading Announcements

    Solutions

    Slides

    2011_Spring Assignment Archive

    Link to Online Quiz

    CS717 on Piazza. Login with iitb.ac.in email id.