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GECCO
2006
Springer
172views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolving boolean networks to find intervention points in dengue pathogenesis
We use probabilistic boolean networks to simulate the pathogenesis of Dengue Hemorraghic Fever (DHF). Based on Chaturvedi's work, the strength of cytokine influences are mode...
Philip Tan, Joc Cing Tay
JMLR
2006
80views more  JMLR 2006»
15 years 3 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
IPL
2002
118views more  IPL 2002»
15 years 2 months ago
Differential approximation results for the traveling salesman and related problems
This paper deals with the problem of constructing a Hamiltonian cycle of optimal weight, called TSP. We show that TSP is 2/3-differential approximable and can not be differential a...
Jérôme Monnot
TCBB
2011
14 years 10 months ago
Accurate Construction of Consensus Genetic Maps via Integer Linear Programming
—We study the problem of merging genetic maps, when the individual genetic maps are given as directed acyclic graphs. The computational problem is to build a consensus map, which...
Yonghui Wu, Timothy J. Close, Stefano Lonardi
TCOM
2011
170views more  TCOM 2011»
14 years 10 months ago
On Girth Conditioning for Low-Density Parity-Check Codes
—Low-density parity-check (LDPC) codes are gaining interest for high data rate applications in both terrestrial and spatial communications. They can be designed and studied throu...
Samuele Bandi, Velio Tralli, Andrea Conti, Maddale...