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» Solving Hierarchical Optimization Problems Using MOEAs
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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 29 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
ITS
2010
Springer
152views Multimedia» more  ITS 2010»
14 years 23 days ago
A Network Analysis of Student Groups in Threaded Discussions
As online discussion boards become a popular medium for collaborative problem solving, we would like to understand patterns of group interactions that lead to collaborative learnin...
Jeon-Hyung Kang, Jihie Kim, Erin Shaw
FOCS
1993
IEEE
14 years 3 days ago
Simulated Annealing for Graph Bisection
We resolve in the a rmative a question of Boppana and Bui: whether simulated annealing can, with high probability and in polynomial time, nd the optimal bisection of a random grap...
Mark Jerrum, Gregory B. Sorkin
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
13 years 11 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
IPCO
2008
118views Optimization» more  IPCO 2008»
13 years 9 months ago
Constraint Orbital Branching
Orbital branching is a method for branching on variables in integer programming that reduces the likelihood of evaluating redundant, isomorphic nodes in the branch-and-bound proce...
James Ostrowski, Jeff Linderoth, Fabrizio Rossi, S...