{"id":335405,"date":"2017-01-02T21:39:32","date_gmt":"2017-01-03T05:39:32","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-event&p=335405"},"modified":"2025-08-06T11:58:44","modified_gmt":"2025-08-06T18:58:44","slug":"uai-96-uncertain-reasoning-course","status":"publish","type":"msr-event","link":"https:\/\/www.microsoft.com\/en-us\/research\/event\/uai-96-uncertain-reasoning-course\/","title":{"rendered":"UAI ’96 Full-Day Course on Uncertain Reasoning"},"content":{"rendered":"\n\n

Venue:<\/strong>\u00a0Reed College (opens in new tab)<\/span><\/a><\/p>\n

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<\/a>.Opens in a new tab<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/th>\nSession<\/th>\n<\/tr>\n<\/thead>\n
\n
8:25\u20138:30<\/div>\n<\/td>\n
\n
\n

Introduction and Goals<\/strong>
\nEric Horvitz and Finn Jensen<\/i><\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/tr>\n
8:35\u201311:00<\/td>\n\n
\n

Session I: Foundations of Uncertainty<\/p>\n

    \n
  • Foundations of Probability and Utility<\/strong>
    \nInstructor: Ross Shachter<\/i><\/li>\n
  • Beyond probability: Alternative Formalisms<\/strong>
    \nInstructor: Prakash Shenoy<\/i><\/li>\n
  • Review and Questions<\/strong>
    \nShachter and Shenoy<\/i><\/li>\n<\/ul>\n<\/div>\n<\/td>\n
<\/td>\n<\/tr>\n
\n
11:00\u201312:45<\/div>\n<\/td>\n
\n
\n

Session II: Inference Algorithms for Belief and Action<\/p>\n

    \n
  • Algorithms for probabilistic inference<\/strong>
    \nInstructor: Bruce D’Ambrosio<\/i><\/li>\n
  • Decision making<\/strong>
    \nInstructor: Mark Peot<\/i><\/li>\n
  • Commonalities in inference methods for uncertain reasoning<\/strong>
    \nInstructor: Finn Jensen<\/i><\/li>\n
  • Review and Questions<\/strong>
    \nD’ambrosio, Jensen, and Peot<\/i><\/li>\n<\/ul>\n<\/div>\n<\/td>\n
<\/td>\n<\/tr>\n
\n
12:45\u20132:00<\/div>\n<\/td>\n
Lunch<\/td>\n<\/td>\n<\/tr>\n
\n

2:00\u20133:15<\/p>\n<\/td>\n

Session III: Modeling and Knowledge Acquisition<\/strong>
\nInstructors:\u00a0Kathryn Laskey and Michael Shwe<\/i><\/td>\n		<\/td>\n<\/tr>\n
\n
3:15\u20134:20<\/div>\n<\/td>\n
\n
\n

Session IV: Learning Models from Data<\/p>\n

    \n
  • Foundations of Learning Graphical Models<\/strong>
    \nInstructors:\u00a0Greg Cooper, David Heckerman<\/i><\/li>\n
  • Real-world Application of Learning Methods<\/strong>
    \nInstructor:\u00a0Wray Buntine<\/i><\/li>\n<\/ul>\n<\/div>\n<\/td>\n
<\/td>\n<\/tr>\n
\n
4:20\u20134:30<\/div>\n<\/td>\n
Break<\/td>\n<\/td>\n<\/tr>\n
\n
4:30\u20135:25<\/div>\n<\/td>\n
\n
\n

Session V: Uncertain Reasoning in the Real World\u2013Case Studies<\/strong>
\nInstructors:\u00a0Eric Horvitz and Mark Peot<\/i><\/p>\n<\/div>\n<\/td>\n

<\/td>\n<\/tr>\n
\n

11:50\u201312:00<\/p>\n<\/td>\n

Research Directions \/ UAI 96 Highlights<\/strong><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Opens in a new tab<\/span><\/p>\n

\t

\n\t\t\t\t\t
\n\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\tExpand all\t\t\t\t\t<\/button>\n\t\t\t\t\t | <\/span>\n\t\t\t\t\t\n\t\t\t\t\t\tCollapse all\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t