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Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers

Overview of attention for article published in Machine Learning, April 2004
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Mentioned by

patent
2 patents

Citations

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96 Dimensions

Readers on

mendeley
102 Mendeley
citeulike
1 CiteULike
Title
Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers
Published in
Machine Learning, April 2004
DOI 10.1023/b:mach.0000019805.88351.60
Authors

Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Russia 2 2%
Switzerland 1 <1%
Turkey 1 <1%
Slovakia 1 <1%
Colombia 1 <1%
Germany 1 <1%
China 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 90 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 30%
Researcher 20 20%
Student > Master 9 9%
Other 8 8%
Professor > Associate Professor 6 6%
Other 19 19%
Unknown 9 9%
Readers by discipline Count As %
Computer Science 39 38%
Engineering 16 16%
Mathematics 7 7%
Agricultural and Biological Sciences 5 5%
Neuroscience 3 3%
Other 18 18%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 November 2014.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Machine Learning
#344
of 1,225 outputs
Outputs of similar age
#21,865
of 64,948 outputs
Outputs of similar age from Machine Learning
#3
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 64,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.