2167 search results - page 221 / 434 » Learning with Drift Detection |
144
click to vote
HPDC
2008
IEEE
15 years 11 months ago
2008
IEEE
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
159
click to vote
CIRA
2007
IEEE
15 years 11 months ago
2007
IEEE
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
142
click to vote
IROS
2007
IEEE
15 years 11 months ago
2007
IEEE
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
140
click to vote
ICIC
2007
Springer
15 years 11 months ago
2007
Springer
This paper presents a novel fault detection and section estimation method for unbalanced underground distribution systems (UDS). The method proposed is based on artificial neural n...
135
click to vote
SGAI
2007
Springer
15 years 10 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...