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» Using Anonymized Data for Classification
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MICCAI
2008
Springer
16 years 3 months ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum
104
Voted
BMCBI
2006
140views more  BMCBI 2006»
15 years 2 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
142
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CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 2 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
144
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BMCBI
2011
14 years 6 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...
134
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AAAI
2008
15 years 5 months ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova