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JUCS
2008
104views more  JUCS 2008»
15 years 5 months ago
Optimal Transit Price Negotiation: The Distributed Learning Perspective
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...
Dominique Barth, Loubna Echabbi, Chahinez Hamlaoui
IJON
2000
99views more  IJON 2000»
15 years 4 months ago
Visualizing the visual system
As part of a forthcoming planetarium show about the human brain, we are producing realistic models of the central nervous system at a variety of scales, from whole brain images to...
Greg Hood, John Burkardt, Greg Foss
RECOMB
2007
Springer
16 years 5 months ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss
CORR
2010
Springer
162views Education» more  CORR 2010»
15 years 5 months ago
Random sampling of lattice paths with constraints, via transportation
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
Lucas Gerin
BMCBI
2011
15 years 54 min ago
iPhy: an integrated phylogenetic workbench for supermatrix analyses
Background: The increasing availability of molecular sequence data means that the accuracy of future phylogenetic studies is likely to by limited by systematic bias and taxon choi...
Martin O. Jones, Georgios D. Koutsovoulos, Mark L....