Metalearning: a survey of trends and technologies.

Artif Intell Rev 2015;44(1):117-130

Bournemouth University, Poole House, Talbot Campus, Fern Barrow, BH12 5BB Poole, UK.

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.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10462-013-9406-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459543PMC
January 2015
1 Read

Publication Analysis

Top Keywords

metalearning
5
overview directions
4
directions pursued
4
pursued umbrella
4
metalearning reconciling
4
umbrella metalearning
4
all-encompassing overview
4
aims all-encompassing
4
metalearning problem
4
problem contexts
4
contexts term
4
term survey
4
reconciling definitions
4
definitions scientific
4
system identifying
4
metalearning system
4
identifying future
4
future challenges
4
challenges domain
4
designing metalearning
4

References

(Supplied by CrossRef)

A Abbasi et al.
Manag Inf Syst Q 2012

A Bernstein et al.
IEEE Trans Knowl Data Eng 2005

JB Biggs et al.
Br J Educ Psychol 1985

C Bishop et al.
1995

P Brazdil et al.
Mach Learn 2003

P Brazdil et al.
2009

Similar Publications