| Title |
Effective hyperparameter optimization using Nelder-Mead method in deep learning
|
|---|---|
| Published in |
IPSJ Transactions on Computer Vision and Applications, November 2017
|
| DOI | 10.1186/s41074-017-0030-7 |
| Authors |
Yoshihiko Ozaki, Masaki Yano, Masaki Onishi |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 21% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 9 | 10% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 14% |
| Unknown | 23 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 37% |
| Engineering | 17 | 19% |
| Medicine and Dentistry | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Physics and Astronomy | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 26 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 May 2018.
All research outputs
#14,394,428
of 23,053,613 outputs
Outputs from IPSJ Transactions on Computer Vision and Applications
#27
of 33 outputs
Outputs of similar age
#182,394
of 328,240 outputs
Outputs of similar age from IPSJ Transactions on Computer Vision and Applications
#2
of 2 outputs
Altmetric has tracked 23,053,613 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one scored the same or higher as 6 of them.
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 328,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.