| Title |
Unconfused ultraconservative multiclass algorithms
|
|---|---|
| Published in |
Machine Learning, April 2015
|
| DOI | 10.1007/s10994-015-5490-3 |
| Authors |
Ugo Louche, Liva Ralaivola |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 7% |
| Unknown | 14 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Student > Master | 2 | 13% |
| Lecturer | 1 | 7% |
| Other | 5 | 33% |
| Unknown | 1 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 67% |
| Arts and Humanities | 2 | 13% |
| Nursing and Health Professions | 1 | 7% |
| Linguistics | 1 | 7% |
| Unknown | 1 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 June 2015.
All research outputs
#20,281,599
of 22,815,414 outputs
Outputs from Machine Learning
#946
of 964 outputs
Outputs of similar age
#223,594
of 264,160 outputs
Outputs of similar age from Machine Learning
#9
of 9 outputs
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So far Altmetric has tracked 964 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.