Meta-learning (computer science): Difference between revisions

Revision as of 15:06, 29 January 2024

Revision as of 02:02, 24 March 2024

Line 9:

| author = P. E. Utgoff

| chapter = Shift of bias for inductive concept learning

| editor = R. Michalski,
|editor2=J. Carbonell, &
|editor3=T. Mitchell

| title = Machine Learning: An Artificial Intelligence Approach

| pages = 163–190

Line 31 ⟶ 33:

==Common approaches==

There are three common approaches:<ref name="paper1">{{cite web|url=https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html|first=Lilian|last=Weng|year=2018 |title=Meta-Learning: Learning to Learn Fast|website=OpenAI Blog|date=30 November 2018|access-date=27 October 2019|language=en}}</ref>

# using (cyclic) networks with external or internal memory (model-based)

# learning effective distance metrics (metrics-based)