7 search results - page 1 / 2 » Kalman Filters and Adaptive Windows for Learning in Data Str... |
DIS
2006
Springer
13 years 9 months ago
2006
Springer
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
INFFUS
2008
13 years 5 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...