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» Problems of learning in multi-agent systems
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EVOW
2010
Springer
15 years 7 months ago
Towards Automated Learning of Object Detectors
Recognizing arbitrary objects in images or video sequences is a difficult task for a computer vision system. We work towards automated learning of object detectors from video seque...
Marc Ebner
JCDL
2005
ACM
86views Education» more  JCDL 2005»
15 years 9 months ago
From playful exhibits to LOM: lessons from building an exploratorium digital library
The Exploratorium, an interactive hand-on science museum, is developing an online collection of science learning and teaching resources to better serve educators’ needs for peda...
Holly Fait, Sherry Hsi
ECML
2003
Springer
15 years 9 months ago
Could Active Perception Aid Navigation of Partially Observable Grid Worlds?
Due to the unavoidable fact that a robot’s sensors will be limited in some manner, it is entirely possible that it can find itself unable to distinguish between differing state...
Paul A. Crook, Gillian Hayes
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 7 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
135
Voted
ADBIS
2005
Springer
100views Database» more  ADBIS 2005»
15 years 9 months ago
Evolutionary Learning of Boolean Queries by Genetic Programming
Abstract. The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its...
Suhail S. J. Owais, Pavel Krömer, Václ...