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BMCBI
2005
108views more  BMCBI 2005»
15 years 6 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
SBRN
2006
IEEE
16 years 19 days ago
Evolutionary Algorithm for 3D Object Reconstruction from Images
This work presents an evolutionary algorithm to reconstruct 3D objects based on images of them. In the proposed evolutionary algorithm, we describe a way to evolve 3D initial mode...
Renata L. M. E. do Rego, Hansenclever de F. Bassan...
166
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INFOCOM
2010
IEEE
15 years 5 months ago
Routing and Scheduling for Energy and Delay Minimization in the Powerdown Model
—Energy conservation is drawing increasing attention in data networking. One school of thought believes that a dominant amount of energy saving comes from turning off network ele...
Matthew Andrews, Antonio Fernández, Lisa Zh...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
16 years 24 days ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 7 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee