| Title |
A theory of transfer learning with applications to active learning
|
|---|---|
| Published in |
Machine Learning, July 2012
|
| DOI | 10.1007/s10994-012-5310-y |
| Authors |
Liu Yang, Steve Hanneke, Jaime Carbonell |
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 % |
|---|---|---|
| Canada | 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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 3 | 1% |
| United States | 2 | <1% |
| South Africa | 2 | <1% |
| Singapore | 2 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 213 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 23% |
| Student > Master | 31 | 13% |
| Researcher | 25 | 11% |
| Student > Bachelor | 25 | 11% |
| Student > Doctoral Student | 17 | 7% |
| Other | 35 | 15% |
| Unknown | 45 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 105 | 45% |
| Engineering | 21 | 9% |
| Social Sciences | 16 | 7% |
| Psychology | 12 | 5% |
| Business, Management and Accounting | 6 | 3% |
| Other | 23 | 10% |
| Unknown | 49 | 21% |
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 12 June 2014.
All research outputs
#6,922,550
of 22,699,621 outputs
Outputs from Machine Learning
#253
of 952 outputs
Outputs of similar age
#49,386
of 164,545 outputs
Outputs of similar age from Machine Learning
#1
of 12 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 952 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 71% 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 164,545 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 68% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.