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ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
13 years 7 months ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
CIKM
2006
Springer
14 years 1 months ago
3DString: a feature string kernel for 3D object classification on voxelized data
Classification of 3D objects remains an important task in many areas of data management such as engineering, medicine or biology. As a common preprocessing step in current approac...
Johannes Aßfalg, Karsten M. Borgwardt, Hans-...
AUSAI
2007
Springer
14 years 1 months ago
Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification
Abstract. One of the key applications of microarray studies is to select and classify gene expression profiles of cancer and normal subjects. In this study, two hybrid approaches
Pengyi Yang, Zili Zhang
CBMS
2008
IEEE
13 years 12 months ago
Lung Tissue Classification in HRCT Data Integrating the Clinical Context
In this paper, we investigate the influence of the clinical context of high
Adrien Depeursinge, Jimison Iavindrasana, Gilles C...
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 10 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...