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12 years 3 months ago
Evolutionary synthesis of analog networks
he significant increase in the available computational power that took place in recent decades has been accompanied by a growing interest in the application of the evolutionary ap...
Claudio Mattiussi
ISPA
2005
Springer
13 years 10 months ago
Near Optimal Routing in a Small-World Network with Augmented Local Awareness
In order to investigate the routing aspects of small-world networks, Kleinberg [13] proposes a network model based on a d-dimensional lattice with long-range links chosen at random...
Jianyang Zeng, Wen-Jing Hsu, Jiangdian Wang
BMCBI
2005
108views more  BMCBI 2005»
13 years 4 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