DocumentCode
814412
Title
Machine learning in biology: a profile of David Haussler
Author
Hedberg, Sara Reese
Volume
21
Issue
1
fYear
2006
Firstpage
8
Lastpage
10
Abstract
This paper helped initiate the integration of a branch of machine learning theory with machine learning practice, according to Carnegie Mellon´s Tom Mitchell, a world-renowned machine learning researcher and past president of the AAAI. Haussler´s paper helped introduce the AI community to PAC (probably approximately correct) learning - then a new line of theoretical work - and linked it with ongoing AI work in machine learning.
Keywords
biology; learning (artificial intelligence); AI community; Carnegie Mellon Tom Mitchell; David Haussler; PAC; biology; machine learning theory; probably approximately correct; Algorithm design and analysis; Assembly; Bioinformatics; Biology computing; DNA computing; Genomics; Humans; Machine learning; Machine learning algorithms; Sequences; David Haussler; bioinformatics; machine learning;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2006.13
Filename
1588795
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