620 search results - page 101 / 124 » Learning with Temporary Memory |
IDA
2002
Springer
13 years 7 months ago
2002
Springer
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
TSMC
2002
13 years 7 months ago
2002
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
NPL
2007
13 years 6 months ago
2007
Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
PR
2007
13 years 6 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...