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IEEEMM
2007
146views more  IEEEMM 2007»
15 years 3 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
145
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FUIN
2002
123views more  FUIN 2002»
15 years 3 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
TMI
2002
185views more  TMI 2002»
15 years 3 months ago
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI inten...
Mohamed N. Ahmed, Sameh M. Yamany, Nevin Mohamed, ...
124
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COLING
2010
14 years 10 months ago
Exploring the Data-Driven Prediction of Prepositions in English
Prepositions in English are a well-known challenge for language learners, and the computational analysis of preposition usage has attracted significant attention. Such research ge...
Anas Elghafari, Detmar Meurers, Holger Wunsch
143
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MMAS
2010
Springer
14 years 10 months ago
A Novel Method for Solving Multiscale Elliptic Problems with Randomly Perturbed Data
We propose a method for efficient solution of elliptic problems with multiscale features and randomly perturbed coefficients. We use the multiscale finite element method (MsFEM) as...
Victor Ginting, Axel Målqvist, Michael Presh...