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CONTEXT
2001
Springer
14 years 7 days ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
ATAL
2006
Springer
13 years 11 months ago
Gradient field-based task assignment in an AGV transportation system
Assigning tasks to agents is complex, especially in highly dynamic environments. Typical protocol-based approaches for task assignment such as Contract Net have proven their value...
Danny Weyns, Nelis Boucké, Tom Holvoet
GIS
2008
ACM
14 years 8 months ago
Editing and versioning dynamic network models
Network data models are widely used to describe the connectivity between spatial features in GIS architectures. Recent applications demand that such models are editable in multius...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
MICRO
2010
IEEE
175views Hardware» more  MICRO 2010»
13 years 5 months ago
Efficient Selection of Vector Instructions Using Dynamic Programming
Accelerating program performance via SIMD vector units is very common in modern processors, as evidenced by the use of SSE, MMX, VSE, and VSX SIMD instructions in multimedia, scien...
Rajkishore Barik, Jisheng Zhao, Vivek Sarkar
IUI
2006
ACM
14 years 1 months ago
Enabling context-sensitive information seeking
1 Information seeking is an important but often difficult task especially when involving large and complex data sets. We hypothesize that a context-sensitive interaction paradigm c...
Michelle X. Zhou, Keith Houck, Shimei Pan, James S...