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UAI
1998
13 years 9 months ago
Learning From What You Don't Observe
The process of diagnosis involves learning about the state of a system from various observations of symptoms or findings about the system. Sophisticated Bayesian (and other) algor...
Mark A. Peot, Ross D. Shachter
ATAL
2008
Springer
13 years 9 months ago
Simultaneously modeling humans' preferences and their beliefs about others' preferences
In strategic multiagent decision making, it is often the case that a strategic reasoner must hold beliefs about other agents and use these beliefs to inform its decision making. T...
Sevan G. Ficici, Avi Pfeffer
ECCE
2007
13 years 9 months ago
Design of argument diagramming for case-based group learning
Argument diagramming tools can improve reasoning and learning. They are likely to have a significant place in future virtual learning environments whose design will be dominated b...
John Dowell, Thomas Gladisch
ECAI
2010
Springer
13 years 9 months ago
Event Model Learning from Complex Videos using ILP
Abstract. Learning event models from videos has applications ranging from abnormal event detection to content based video retrieval. Relational learning techniques such as Inductiv...
Krishna S. R. Dubba, Anthony G. Cohn, David C. Hog...
KBS
2002
106views more  KBS 2002»
13 years 7 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen