| Title |
Metalearning: a survey of trends and technologies
|
|---|---|
| Published in |
Artificial Intelligence Review, July 2013
|
| DOI | 10.1007/s10462-013-9406-y |
| Pubmed ID | |
| Authors |
Christiane Lemke, Marcin Budka, Bogdan Gabrys |
| Abstract |
Metalearning attracted considerable interest in the machine learning community in the last years. Yet, some disagreement remains on what does or what does not constitute a metalearning problem and in which contexts the term is used in. This survey aims at giving an all-encompassing overview of the research directions pursued under the umbrella of metalearning, reconciling different definitions given in scientific literature, listing the choices involved when designing a metalearning system and identifying some of the future research challenges in this domain. |
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 % |
|---|---|---|
| Unknown | 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 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Brazil | 2 | <1% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Pakistan | 1 | <1% |
| Singapore | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 372 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 22% |
| Student > Master | 72 | 19% |
| Researcher | 47 | 12% |
| Student > Doctoral Student | 29 | 8% |
| Student > Bachelor | 27 | 7% |
| Other | 46 | 12% |
| Unknown | 79 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 190 | 49% |
| Engineering | 48 | 12% |
| Mathematics | 17 | 4% |
| Business, Management and Accounting | 5 | 1% |
| Social Sciences | 5 | 1% |
| Other | 32 | 8% |
| Unknown | 89 | 23% |
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 19 December 2023.
All research outputs
#6,675,049
of 23,575,882 outputs
Outputs from Artificial Intelligence Review
#123
of 778 outputs
Outputs of similar age
#55,606
of 198,737 outputs
Outputs of similar age from Artificial Intelligence Review
#3
of 6 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 778 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 82% 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 198,737 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 70% of its contemporaries.
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.