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» Classification of Ordinal Data
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112
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CHI
2008
ACM
15 years 5 months ago
Toped: enabling end-user programmers to validate data
Existing tools require end-user programmers (EUPs) to write regular expressions ("regexps") or even scripts to validate textual inputs, which is slow and error-prone. We...
Christopher Scaffidi, Brad A. Myers, Mary Shaw
134
Voted
COLING
2008
15 years 5 months ago
Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as ...
Meladel Mistica, Timothy Baldwin, Marisa Cordella,...
135
Voted
DICTA
2007
15 years 5 months ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita
68
Voted
NIPS
2004
15 years 4 months ago
The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data
There has been substantial progress in the past decade in the development of object classifiers for images, for example of faces, humans and vehicles. Here we address the problem ...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
128
Voted
JMLR
2008
133views more  JMLR 2008»
15 years 3 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan