Title |
Risk bound of transfer learning using parametric feature mapping and its application to sparse coding
|
---|---|
Published in |
Machine Learning, May 2019
|
DOI | 10.1007/s10994-019-05805-2 |
Authors |
Wataru Kumagai, Takafumi Kanamori |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 4 | 44% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 22% |
Researcher | 2 | 11% |
Other | 1 | 6% |
Professor | 1 | 6% |
Lecturer | 1 | 6% |
Other | 2 | 11% |
Unknown | 7 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 22% |
Mathematics | 2 | 11% |
Agricultural and Biological Sciences | 1 | 6% |
Decision Sciences | 1 | 6% |
Computer Science | 1 | 6% |
Other | 0 | 0% |
Unknown | 9 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 26 June 2019.
All research outputs
#6,914,021
of 23,151,189 outputs
Outputs from Machine Learning
#248
of 981 outputs
Outputs of similar age
#124,170
of 350,642 outputs
Outputs of similar age from Machine Learning
#2
of 11 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 981 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 74% 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 350,642 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.