76 search results - page 8 / 16 » An Ensemble Approach for Incremental Learning in Nonstationa... |
MCS
2010
Springer
13 years 9 months ago
2010
Springer
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
AAAI
2010
13 years 9 months ago
2010
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
ASC
2008
13 years 7 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
ECAI
2004
Springer
14 years 29 days ago
2004
Springer
Agents that exist in an environment that changes over time, and are able to take into account the temporal nature of experience, are commonly called incremental learners. It is wid...
ICRA
2010
IEEE
13 years 6 months ago
2010
IEEE
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...