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» Constrained Classification on Structured Data
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ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 9 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
WWW
2007
ACM
14 years 9 months ago
Classifying web sites
In this paper, we present a novel method for the classification of Web sites. This method exploits both structure and content of Web sites in order to discern their functionality....
Christoph Lindemann, Lars Littig
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 9 months ago
Spreadsheet Refactoring
Refactoring is a change made to the internal structure of software to make it easier to understand and cheaper to modify without changing its observable behaviour. A database refa...
Patrick O'Beirne
ICIP
2002
IEEE
14 years 1 months ago
Evaluation of reproducibility for manual and semi-automated feature extraction in CT and MR images
Three methods for extraction and quantitative measurement of features in CT and MR images are examined: hand tracing, semi-automated tracing using the livewire graph search algori...
Edward A. Ashton, Larry Molinelli, Saara Totterman...