596 search results - page 62 / 120 » Detecting worm variants using machine learning |
129
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JMLR
2010
14 years 10 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
170
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
114
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ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
15 years 4 months ago
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
149
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IROS
2006
IEEE
15 years 9 months ago
2006
IEEE
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
121
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MLDM
2005
Springer
15 years 8 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...