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CVPR
2010
IEEE
16 years 3 months ago
What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...
170
Voted
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
16 years 7 days ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
DEXAW
2002
IEEE
96views Database» more  DEXAW 2002»
15 years 11 months ago
Individual Knowledge Management with MailTack
We present our EU-sponsored research in the domain of individual knowledge management and collaborative learning: the MailTack system. MailTack is a stand-alone software tool that...
Marco C. Bettoni, Robert Ottiger, Rolf Todesco, Ku...
AGENTS
1999
Springer
15 years 11 months ago
On Being a Teammate: Experiences Acquired in the design of RoboCup Teams
Increasingly, multi-agent systems are being designed for a variety of complex, dynamic domains. E ective agent interactions in such domains raise some of most fundamental research...
Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Gal...
ICCS
1993
Springer
15 years 10 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson