2958 search results - page 190 / 592 » Using Anonymized Data for Classification |
122
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MICAI
2007
Springer
15 years 9 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
197
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SSD
1999
Springer
15 years 7 months ago
1999
Springer
Classification is one of the basic tasks of data mining in modern database applications including molecular biology, astronomy, mechanical engineering, medical imaging or meteorolo...
114
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FLAIRS
2008
15 years 5 months ago
2008
To facilitate more meaningful interpretation considering the internal interdependency relationships between data values, a new form of high-order (multiple-valued) pattern known a...
132
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JMLR
2006
15 years 3 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
139
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TIT
2010
14 years 10 months ago
2010
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...