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
Link To Document :
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