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BMCBI
2004
205views more  BMCBI 2004»
15 years 6 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
GECCO
2004
Springer
120views Optimization» more  GECCO 2004»
16 years 4 days ago
Comparison of Selection Strategies for Evolutionary Quantum Circuit Design
Evolution of quantum circuits faces two major challenges: complex and huge search spaces and the high costs of simulating quantum circuits on conventional computers. In this paper ...
André Leier, Wolfgang Banzhaf
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 6 months ago
A Semidefinite Relaxation for Air Traffic Flow Scheduling
We first formulate the problem of optimally scheduling air traffic low with sector capacity constraints as a mixed integer linear program. We then use semidefinite relaxation tech...
Alexandre d'Aspremont, Laurent El Ghaoui
CORR
2010
Springer
47views Education» more  CORR 2010»
15 years 5 months ago
Applications of Lindeberg Principle in Communications and Statistical Learning
We use a generalization of the Lindeberg principle developed by Sourav Chatterjee to prove universality properties for various problems in communications, statistical learning and...
Satish Babu Korada, Andrea Montanari
JMLR
2010
158views more  JMLR 2010»
15 years 1 months ago
Topology Selection in Graphical Models of Autoregressive Processes
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...
Jitkomut Songsiri, Lieven Vandenberghe