45 search results - page 6 / 9 » Incremental learning with temporary memory |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Ingcreasingly, data-mining algorithms must deal with databases that continuously grow over time. These algorithms must avoid repeatedly scanning their databases. When database att...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
ECML
2005
Springer
14 years 26 days ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
ITNG
2010
IEEE
14 years 12 days ago
2010
IEEE
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
ICANN
2005
Springer
14 years 26 days ago
2005
Springer
We present an architecture for the online learning of object representations based on a visual cortex hierarchy developed earlier. We use the output of a topographical feature hier...