1183 search results - page 90 / 237 » Learning Process Models with Missing Data |
109
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SEKE
1993
Springer
15 years 5 months ago
1993
Springer
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
115
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ICA
2010
Springer
15 years 1 months ago
2010
Springer
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
106
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ICDM
2009
IEEE
15 years 8 months ago
2009
IEEE
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
120
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
113
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ISSRE
2007
IEEE
15 years 3 months ago
2007
IEEE
This paper describes a study performed in an industrial setting that attempts to build predictive models to identify parts of a Java system with a high probability of fault. The s...