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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 6 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
AOIS
2004
15 years 6 months ago
A Systematic Approach for Including Machine Learning in Multi-agent Systems
Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
José Alberto R. P. Sardinha, Alessandro F. ...
NIPS
1996
15 years 6 months ago
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
Jeff G. Schneider
142
Voted
DAGM
2004
Springer
15 years 10 months ago
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
Bastian Leibe, Bernt Schiele
117
Voted
ERCIMDL
2003
Springer
91views Education» more  ERCIMDL 2003»
15 years 10 months ago
Search Engine-Crawler Symbiosis: Adapting to Community Interests
Web crawlers have been used for nearly a decade as a search engine component to create and update large collections of documents. Typically the crawler and the rest of the search e...
Gautam Pant, Shannon Bradshaw, Filippo Menczer