๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

On the state of the art in machine learning: A personal review

โœ Scribed by Peter A. Flach

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
176 KB
Volume
131
Category
Article
ISSN
0004-3702

No coin nor oath required. For personal study only.

โœฆ Synopsis

This paper reviews a number of recent books related to current developments in machine learning. Some (anticipated) trends will be sketched. These include: a trend towards combining approaches that were hitherto regarded as distinct and were studied by separate research communities; a trend towards a more prominent role of representation; and a tighter integration of machine learning techniques with techniques from areas of application such as bioinformatics. The intended readership has some knowledge of what machine learning is about, but brief tutorial introductions to some of the more specialist research areas will also be given.

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