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» Sensor Errors Prediction Using Neural Networks
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BMCBI
2008
147views more  BMCBI 2008»
14 years 9 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
SECON
2007
IEEE
15 years 4 months ago
OPERA: An Optimal Progressive Error Recovery Algorithm for Wireless Sensor Networks
—Wireless Sensor Networks (WSNs) require robustness against channel induced errors while retransmission based schemes prove too costly for energy constrained sensor nodes. Channe...
Saad B. Qaisar, Hayder Radha
IJCNN
2008
IEEE
15 years 4 months ago
Financial time series prediction using a support vector regression network
Abstract— This paper presents a novel support vector regression (SVR) network for financial time series prediction. The SVR network consists of two layers of SVR: transformation...
Boyang Li, Jinglu Hu, Kotaro Hirasawa
ICANN
2009
Springer
15 years 4 months ago
Almost Random Projection Machine
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
Wlodzislaw Duch, Tomasz Maszczyk
CJ
2008
108views more  CJ 2008»
14 years 9 months ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen