565 search results - page 5 / 113 » Learning from Time-Changing Data with Adaptive Windowing |
MLDM
2009
Springer
14 years 2 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
DATAMINE
2006
13 years 7 months ago
2006
Frequent pattern mining on data streams is of interest recently. However, it is not easy for users to determine a proper frequency threshold. It is more reasonable to ask users to ...
ICANN
2003
Springer
14 years 28 days ago
2003
Springer
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
ACL
2009
13 years 5 months ago
2009
Mining bilingual data (including bilingual sentences and terms1 ) from the Web can benefit many NLP applications, such as machine translation and cross language information retrie...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...