July 31, 1996

UAI '96 Full-Day Course on Uncertain Reasoning

8:30 AM – 5:30 PM

Location: Portland, Oregon, USA

Venue: Reed College (opens in new tab)

This one-day intensive course on principles and applications of uncertain reasoning was given the day before the start of the main UAI ’96 conference.

Time Session
8:25–8:30

Introduction and Goals
Eric Horvitz and Finn Jensen

8:35–11:00

Session I: Foundations of Uncertainty

  • Foundations of Probability and Utility
    Instructor: Ross Shachter
  • Beyond probability: Alternative Formalisms
    Instructor: Prakash Shenoy
  • Review and Questions
    Shachter and Shenoy
11:00–12:45

Session II: Inference Algorithms for Belief and Action

  • Algorithms for probabilistic inference
    Instructor: Bruce D’Ambrosio
  • Decision making
    Instructor: Mark Peot
  • Commonalities in inference methods for uncertain reasoning
    Instructor: Finn Jensen
  • Review and Questions
    D’ambrosio, Jensen, and Peot
12:45–2:00
Lunch

2:00–3:15

Session III: Modeling and Knowledge Acquisition
Instructors: Kathryn Laskey and Michael Shwe
3:15–4:20

Session IV: Learning Models from Data

  • Foundations of Learning Graphical Models
    Instructors: Greg Cooper, David Heckerman
  • Real-world Application of Learning Methods
    Instructor: Wray Buntine
4:20–4:30
Break
4:30–5:25

Session V: Uncertain Reasoning in the Real World–Case Studies
Instructors: Eric Horvitz and Mark Peot

11:50–12:00

Research Directions / UAI 96 Highlights