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IDEAL
2000
Springer
15 years 10 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
IAT
2009
IEEE
15 years 10 months ago
Bee Hive at Work: Story Tracking Case Study
—Information can change rapidly on the web. For example, news may hint some new story starts to develop. Many more news related to the original event begin to pour in the web. Im...
Pavol Návrat, Lucia Jastrzembska, Tomas Jel...
AAAI
2007
15 years 9 months ago
Photometric and Geometric Restoration of Document Images Using Inpainting and Shape-from-Shading
The popularity of current hand-held digital imaging devices such as camera phones, PDAs, camcorders has promoted the use of digital cameras to capture document images for daily in...
Li Zhang, Andy M. Yip, Chew Lim Tan
AAAI
2007
15 years 9 months ago
Isometric Projection
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
Deng Cai, Xiaofei He, Jiawei Han
AAAI
2008
15 years 9 months ago
A General Framework for Generating Multivariate Explanations in Bayesian Networks
Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
Changhe Yuan, Tsai-Ching Lu
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