1247 search results - page 59 / 250 » Sensor Errors Prediction Using Neural Networks |
NIPS
1996
14 years 11 months ago
1996
We have combined an artificial neural network (ANN) character classifier with context-driven search over character segmentation, word segmentation, and word recognition hypotheses...
SBRN
2008
IEEE
15 years 4 months ago
2008
IEEE
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
ICANN
2007
Springer
15 years 1 months ago
2007
Springer
Forecasting Internet traffic is receiving an increasing attention from the computer networks domain. Indeed, by improving this task efficient traffic engineering and anomaly detect...
101
click to vote
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
NN
2006
Springer
14 years 9 months ago
2006
Springer
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...