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IVC
2000
104views more  IVC 2000»
14 years 9 months ago
Learning spatio-temporal patterns for predicting object behaviour
Rule-based systems employed to model complex object behaviours, do not necessarily provide a realistic portrayal of true behaviour. To capture the real characteristics in a specif...
Neil Sumpter, Andrew J. Bulpitt
AAAI
2008
14 years 11 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
CSUR
2000
136views more  CSUR 2000»
14 years 9 months ago
Pattern density and role modeling of an object transport service
Many object-oriented frameworks exhibit a high density of design pattern applications. Usually, there are more instances in a framework than there are abstract classes. Yet, only ...
Dirk Riehle, Roger Brudermann, Thomas R. Gross, Ka...
ASSISTIVE
1998
Springer
15 years 1 months ago
Providing Intelligent Language Feedback for Augmentative Communication Users
People with severe speech and motor impairments SSMI can often use augmentative communication devices to help them communicate. While these devices can provide speech synthesis or ...
Christopher A. Pennington, Kathleen F. McCoy
WDAG
2010
Springer
185views Algorithms» more  WDAG 2010»
14 years 7 months ago
Leader Election Problem versus Pattern Formation Problem
Leader election and arbitrary pattern formation are fundammental tasks for a set of autonomous mobile robots. The former consists in distinguishing a unique robot, called the lead...
Yoann Dieudonné, Franck Petit, Vincent Vill...