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NECO
2010
147views more  NECO 2010»
13 years 8 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...
NCI
2004
188views Neural Networks» more  NCI 2004»
13 years 11 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
14 years 3 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
EWSN
2007
Springer
14 years 9 months ago
RIDA: A Robust Information-Driven Data Compression Architecture for Irregular Wireless Sensor Networks
Abstract. In this paper, we propose and evaluate RIDA, a novel informationdriven architecture for distributed data compression in a sensor network, allowing it to conserve energy a...
Xuan Thanh Dang, Nirupama Bulusu, Wu-chi Feng
INFOCOM
2011
IEEE
13 years 1 months ago
A comparative study of two network-based anomaly detection methods
—Modern networks are complex and hence, network operators often rely on automation to assist in assuring the security, availability, and performance of these networks. At the cor...
Kaustubh Nyalkalkar, Sushant Sinha, Michael Bailey...