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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 3 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
ISCAS
2005
IEEE
171views Hardware» more  ISCAS 2005»
14 years 2 months ago
Image transmission over IEEE 802.15.4 and ZigBee networks
An image sensor network platform is developed for testing transmission of images over ZigBee networks that support multi-hopping. The ZigBee is a low rate and low power networking...
G. Pekhteryev, Zafer Sahinoglu, Philip V. Orlik, G...
DAC
2009
ACM
14 years 2 months ago
Vicis: a reliable network for unreliable silicon
Process scaling has given designers billions of transistors to work with. As feature sizes near the atomic scale, extensive variation and wearout inevitably make margining unecono...
David Fick, Andrew DeOrio, Jin Hu, Valeria Bertacc...
PERCOM
2010
ACM
13 years 7 months ago
Resilient image sensor networks in lossy channels using compressed sensing
—Data loss in wireless communications greatly affects the reconstruction quality of a signal. In the case of images, data loss results in a reduction in quality of the received i...
Scott Pudlewski, Arvind Prasanna, Tommaso Melodia
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 11 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi