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115
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IPSN
2007
Springer
15 years 9 months ago
Power scheduling for wireless sensor and actuator networks
We previously presented a model for some wireless sensor and actuator network (WSAN) applications based on the vector space tools of frame theory. In this WSAN model there is a we...
Christopher J. Rozell, Don H. Johnson
133
Voted
NIPS
2004
15 years 5 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
111
Voted
BMCBI
2006
118views more  BMCBI 2006»
15 years 3 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
161
Voted
NOLISP
2007
Springer
15 years 9 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
108
Voted
CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
15 years 9 months ago
A Protein Interaction Verification System Based on a Neural Network Algorithm
Large amounts of protein-protein interaction data have been identified using various genome-scale screening techniques. Although interaction data is a valuable resource, high-thro...
Min Su Lee, Seung-Soo Park, Min Kyung Kim