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105
Voted
SENSYS
2006
ACM
15 years 8 months ago
2006
ACM
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
119
Voted
NN
2007
Springer
15 years 2 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
114
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KDD
2009
ACM
15 years 9 months ago
2009
ACM
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s ...
112
Voted
NN
2008
Springer
15 years 2 months ago
2008
Springer
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
131
Voted
ICCS
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....