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FLAIRS
2007
15 years 9 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
AAMAS
2008
Springer
15 years 7 months ago
Anticipation based on constraint processing in a multi-agent context
Anticipation is a general concept used and applied in various domains. Many studies in the field of artificial intelligence have investigated the capacity for anticipation. In thi...
Arnaud Doniec, René Mandiau, Sylvain Piecho...
JAIR
2010
111views more  JAIR 2010»
15 years 5 months ago
Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language
We present a novel framework for learning to interpret and generate language using only perceptual context as supervision. We demonstrate its capabilities by developing a system t...
David L. Chen, Joohyun Kim, Raymond J. Mooney
HCI
2009
15 years 4 months ago
Seeing the World through an Expert's Eyes: Context-Aware Display as a Training Companion
Responsive Adaptive Display Anticipates Requests (RADAR) is a domain general system that learns to highlight an individual's preferred information displays, given the current ...
Marc T. Tomlinson, Michael Howe, Bradley C. Love
BIRTHDAY
2003
Springer
16 years 7 days ago
Comet in Context
Combinatorial optimization problems naturally arise in many application areas, including logistics, manufacturing, supplychain management, and resource allocation. They often give...
Laurent Michel, Pascal Van Hentenryck