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IJCAI
1989
14 years 10 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
AAAI
2006
14 years 11 months ago
Using an Ontology for Knowledge Acquisition
We describe an approach to distributed knowledge acquisition using an ontology. The ontology is used to represent and reason about soldier performance. These methods are embedded ...
Stacy Lovell, Webb Stacy
CIKM
2008
Springer
14 years 11 months ago
Mining social networks using heat diffusion processes for marketing candidates selection
Social Network Marketing techniques employ pre-existing social networks to increase brands or products awareness through word-of-mouth promotion. Full understanding of social netw...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
IJCAI
1997
14 years 11 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip
95
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JMLR
2010
157views more  JMLR 2010»
14 years 4 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell