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» Sensor Errors Prediction Using Neural Networks
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BMCBI
2007
169views more  BMCBI 2007»
14 years 10 months ago
Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana
Background: The central role of transcription factors (TFs) in higher eukaryotes has led to much interest in deciphering transcriptional regulatory interactions. Even in the best ...
Henning Redestig, Daniel Weicht, Joachim Selbig, M...
NIPS
2004
14 years 11 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
EMS
2009
IEEE
15 years 4 months ago
Accurate Timeliness Simulations for Real-Time Wireless Sensor Networks
—The use of wireless sensor networks is rapidly growing in various types of applications that benefit from spatially distributed data collection. Some of these applications, suc...
Jérôme Rousselot, Jean-Dominique Deco...
92
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COMCOM
2004
102views more  COMCOM 2004»
14 years 10 months ago
The distinctive design characteristic of a wireless sensor network: the energy map
The key challenge in the design of a wireless sensor network is maximizing its lifetime. This is a fundamental problem and new protocol engineering principles need to be establish...
Raquel A. F. Mini, Antonio Alfredo Ferreira Lourei...
ESANN
2000
14 years 11 months ago
Regularization in oculomotor control
In modelling the development of the oculomotor control system using neural networks, it is important to determine the appropriate cost function on which to train the models. Whilst...
John A. Bullinaria, Patricia M. Riddell