249 search results - page 31 / 50 » Learning Causal Models of Relational Domains |
IJCAI
1989
15 years 2 months ago
1989
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...
195
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Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
170
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KCAP
2011
ACM
14 years 4 months ago
2011
ACM
Some discourse structures such as enumerative structures have typographical, punctuational and laying out characteristics which (1) make them easily identifiable and (2) convey hi...
133
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
114
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AGI
2008
15 years 3 months ago
2008
Artificial Intelligence deals with the automated simulation of human intelligent behavior. Various aspects of human faculties are tackled using computational models. It is clear th...