565 search results - page 23 / 113 » Learning from Time-Changing Data with Adaptive Windowing |
COLT
2010
Springer
13 years 7 months ago
2010
Springer
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
IUI
2010
ACM
14 years 4 months ago
2010
ACM
A typical knowledge worker is involved in multiple tasks and switches frequently between them every work day. These frequent switches become expensive because each task switch req...
ESANN
2008
13 years 10 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
JMLR
2006
13 years 9 months ago
2006
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
INFFUS
2008
13 years 9 months ago
2008
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...