548 search results - page 87 / 110 » Iterated importance sampling in missing data problems |
105
Voted
CP
2003
Springer
15 years 4 months ago
2003
Springer
Abstract. Searching objects within a catalog is a problem of increasing importance, as the general public has access to increasing volumes of data. Constraint programming has addre...
122
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E2EMON
2006
IEEE
15 years 2 months ago
2006
IEEE
Analyzing Internet traffic at packet level involves generally large amounts of raw data, derived data, and results from various analysis tasks. In addition, the analysis often proc...
107
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CORR
2011
Springer
14 years 2 months ago
2011
Springer
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
116
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CVPR
2012
IEEE
13 years 1 months ago
2012
IEEE
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
GECCO
2006
Springer
15 years 2 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...