5463 search results - page 781 / 1093 » Evaluating algorithms that learn from data streams |
217
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WWW
2008
ACM
16 years 8 months ago
2008
ACM
The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia inf...
221
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AAAI
1996
15 years 8 months ago
1996
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
210
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AAAI
2004
15 years 8 months ago
2004
This paper presents a new boosting (arcing) algorithm called POCA, Parallel Online Continuous Arcing. Unlike traditional boosting algorithms (such as Arc-x4 and Adaboost), that co...
290
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FOCS
2010
IEEE
15 years 5 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...
226
Voted
WABI
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Genome sequencing will soon produce haplotype data for individuals. For pedigrees of related individuals, sequencing appears to be an attractive alternative to genotyping...