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» Sensor Errors Prediction Using Neural Networks
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147
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ICANN
2003
Springer
15 years 7 months ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho
123
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ICIP
2004
IEEE
16 years 4 months ago
Optimal sensor selection for video-based target tracking in a wireless sensor network
The use of wireless sensor networks for target tracking is an active area of research. Imaging sensors that obtain video-rate images of a scene can have a significant impact in su...
Peshala V. Pahalawatta, Thrasyvoulos N. Pappas, Ag...
104
Voted
NN
2007
Springer
15 years 2 months ago
Recurrent neural network modeling of nearshore sandbar behavior
The temporal evolution of nearshore sandbars (alongshore ridges of sand fringing coasts in water depths less than 10 m and of paramount importance for coastal safety) is commonly ...
Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ia...
102
Voted
PERCOM
2006
ACM
16 years 2 months ago
Using buddies to live longer in a boring world
In a sensor network monitoring natural environment, the readings of sensor nodes show high temporal and spatial correlation. This stems from the fact that most characteristics of ...
Samir Goel, Tomasz Imielinski, Andrea Passarella
159
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NPL
2006
172views more  NPL 2006»
15 years 2 months ago
Adapting RBF Neural Networks to Multi-Instance Learning
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
Min-Ling Zhang, Zhi-Hua Zhou