1183 search results - page 90 / 237 » Learning Process Models with Missing Data |
141
Voted
SEKE
1993
Springer
15 years 9 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...
145
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ICA
2010
Springer
15 years 5 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...
136
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ICDM
2009
IEEE
15 years 11 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) ...
165
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ICASSP
2011
IEEE
14 years 8 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...
150
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ISSRE
2007
IEEE
15 years 6 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...