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SODA
2008
ACM
96views Algorithms» more  SODA 2008»
15 years 8 months ago
Unconditionally reliable message transmission in directed networks
In the unconditionally reliable message transmission (URMT) problem, two non-faulty players, the sender S and the receiver R are part of a synchronous network modeled as a directe...
Bhavani Shankar, Prasant Gopal, Kannan Srinathan, ...
ALGORITHMICA
2010
154views more  ALGORITHMICA 2010»
15 years 6 months ago
On the Convergence of Multicast Games in Directed Networks
We investigate the convergence of the price of anarchy after a limited number of moves in the classical multicast communication game when the underlying communication networks is ...
Angelo Fanelli, Michele Flammini, Luca Moscardelli
BMCBI
2010
150views more  BMCBI 2010»
15 years 6 months ago
Systematic calibration of a cell signaling network model
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
Kyoung Ae Kim, Sabrina L. Spencer, John G. Albeck,...
BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
JMLR
2006
389views more  JMLR 2006»
15 years 6 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...