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CPAIOR
2010
Springer
13 years 10 months ago
An In-Out Approach to Disjunctive Optimization
Cutting plane methods are widely used for solving convex optimization problems and are of fundamental importance, e.g., to provide tight bounds for Mixed-Integer Programs (MIPs). T...
Matteo Fischetti, Domenico Salvagnin
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
14 years 27 days ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
ICDM
2007
IEEE
148views Data Mining» more  ICDM 2007»
13 years 11 months ago
Sample Selection for Maximal Diversity
The problem of selecting a sample subset sufficient to preserve diversity arises in many applications. One example is in the design of recombinant inbred lines (RIL) for genetic a...
Feng Pan, Adam Roberts, Leonard McMillan, David Th...
NCA
2006
IEEE
13 years 7 months ago
Analysing the localisation sites of proteins through neural networks ensembles
Scientists involved in the area of proteomics are currently seeking integrated, customised and validated research solutions to better expedite their work in proteomics analyses and...
Aristoklis D. Anastasiadis, George D. Magoulas
CVPR
2009
IEEE
15 years 2 months ago
StaRSaC: Stable Random Sample Consensus for Parameter Estimation
We address the problem of parameter estimation in presence of both uncertainty and outlier noise. This is a common occurrence in computer vision: feature localization is perform...
Jongmoo Choi, Gérard G. Medioni