13414 search results - page 7 / 2683 » The distributed boosting algorithm |
193
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FOCS
2010
IEEE
14 years 12 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
OOPSLA
2005
Springer
15 years 7 months ago
2005
Springer
This paper describes the process used to extend the Boost Graph Library (BGL) for parallel operation with distributed memory. The BGL consists of a rich set of generic graph algor...
119
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ML
2007
ACM
15 years 1 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
AAAI
1998
15 years 3 months ago
1998
Unpredictability in the running time of complete search procedures can often be explained by the phenomenon of "heavy-tailed cost distributions", meaning that at any tim...
108
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IJCAI
2007
15 years 3 months ago
2007
In the past ten years, boosting has become a major field of machine learning and classification. This paper brings contributions to its theory and algorithms. We first unify a ...