45 search results - page 6 / 9 » Incremental learning with temporary memory |
ICML
2006
IEEE
15 years 10 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...
74
Voted
ICML
2003
IEEE
15 years 10 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
15 years 3 months 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
15 years 2 months 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...
86
Voted
ICANN
2005
Springer
15 years 3 months 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...