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» A subdivision-based algorithm for the sparse resultant
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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 3 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
ALMOB
2006
109views more  ALMOB 2006»
15 years 1 months ago
A novel functional module detection algorithm for protein-protein interaction networks
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
EVOW
2007
Springer
15 years 7 months ago
Overcompressing JPEG Images with Evolution Algorithms
Abstract. Overcompression is the process of post-processing compressed images to gain either further size reduction or improved quality. This is made possible by the fact that the ...
Jacques Lévy Véhel, Franklin Mendivi...
UAI
2001
15 years 2 months ago
Graphical Models for Game Theory
We introduce a compact graph-theoretic representation for multi-party game theory. Our main result is a provably correct and efficient algorithm for computing approximate Nash equ...
Michael J. Kearns, Michael L. Littman, Satinder P....
CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 12 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...