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CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 11 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
CHI
2008
ACM
14 years 11 months ago
Design, adoption, and assessment of a socio-technical environment supporting independence for persons with cognitive disabilitie
A significant fraction of persons with cognitive disabilities are potentially able to live more independently with the use of powerful tools embedded in their social environment. ...
Stefan Carmien, Gerhard Fischer
AINA
2007
IEEE
14 years 5 months ago
Extracting Significant Phrases from Text
Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
Yuan J. Lui, Richard Brent, Ani Calinescu
ANNS
2007
14 years 9 days ago
Direct and indirect classification of high-frequency LNA performance using machine learning techniques
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Peter C. Hung, Seán F. McLoone, Magdalena S...
BMCBI
2006
173views more  BMCBI 2006»
13 years 11 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen