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» Towards Using Fewer Features for Text Classification
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IHI
2010
132views Healthcare» more  IHI 2010»
13 years 2 months ago
Section classification in clinical notes using supervised hidden markov model
As more and more information is available in the Electronic Health Record in the form of free-text narrative, there is a need for automated tools, which can process and understand...
Ying Li, Sharon Lipsky Gorman, Noemie Elhadad
CIKM
2008
Springer
13 years 9 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
ICML
2005
IEEE
14 years 8 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
RIAO
2000
13 years 9 months ago
Language sensitive text classification
It is a traditional belief that in order to scale-up to more effective retrieval and access methods modern Information Retrieval has to consider more the text content. The modalit...
Roberto Basili, Alessandro Moschitti, Maria Teresa...
WWW
2006
ACM
14 years 8 months ago
Relaxed: on the way towards true validation of compound documents
To maintain interoperability in the Web environment it is necessary to comply with Web standards. Current specifications of HTML and XHTML languages define conformance conditions ...
Jirka Kosek, Petr Nálevka