999 search results - page 148 / 200 » Warping the time on data streams |
JMLR
2012
12 years 15 days ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
AINA
2008
IEEE
14 years 2 days ago
2008
IEEE
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
NIPS
2001
13 years 11 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
KAIS
2006
13 years 10 months ago
2006
XML has already become the de facto standard for specifying and exchanging data on the Web. However, XML is by nature verbose and thus XML documents are usually large in size, a fa...
PODS
2009
ACM
14 years 10 months ago
2009
ACM
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...