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SUMMARY:Third Generation Machine Intelligence - Chris Bishop - Microsoft R
 esearch Cambridge
DTSTART:20091202T141500Z
DTEND:20091202T151500Z
UID:TALK19196@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:The first successful applications of machine intelligence \nwe
 re based on expert systems constructed using rules elicited from \nhuman e
 xperts. Limitations in the applicability of this approach \nhelped drive t
 he second generation of machine intelligence methods\, as \ntypified by ne
 ural networks\, which can be characterised as black-box \nstatistical mode
 ls fitted to large data sets. In this talk I will \ndescribe a new paradig
 m for machine intelligence which has emerged \nover the last five years\, 
 and which allows strong prior knowledge from \ndomain experts to be combin
 ed with machine learning techniques to \nenable a new generation of large-
 scale applications. The talk will be \nillustrated with tutorial examples 
 as well as real-world case studies.\n
LOCATION:Lecture Theatre 1\, Computer Laboratory
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