701 search results - page 85 / 141 » Visual Data Mining and Machine Learning |
SDM
2007
SIAM
14 years 9 days ago
2007
SIAM
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
KDD
2010
ACM
14 years 2 months ago
2010
ACM
Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently to organize content hierarchically. These types of structured ...
CIKM
2008
Springer
14 years 26 days ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
CVPR
2012
IEEE
12 years 4 months ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
KDD
2008
ACM
14 years 11 months ago
2008
ACM
In an idealized gated radiotherapy treatment, radiation is delivered only when the tumor is at the right position. For gated lung cancer radiotherapy, it is difficult to generate ...