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AAAI
2011
14 years 2 months ago
Transportability of Causal and Statistical Relations: A Formal Approach
We address the problem of transferring information learned from experiments to a different environment, in which only passive observations can be collected. We introduce a formal ...
Judea Pearl, Elias Bareinboim
100
Voted
NLPRS
2001
Springer
15 years 6 months ago
A Separate-and-Learn Approach to EM Learning of PCFGs
WeproposeanewapproachtoEMlearning of PCFGs. We completely separate the process of EM learning from that of parsing, andfor theformer, weintroduce a new EM algorithm called the gra...
Taisuke Sato, Shigeru Abe, Yoshitaka Kameya, Kiyoa...
115
Voted
AI
2000
Springer
15 years 2 months ago
Learning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
147
Voted
BMVC
2010
15 years 11 days ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
CSEE
2003
Springer
15 years 7 months ago
Learning Software Engineering with Group Work
This paper describes our experience of teaching a Software Engineering course based on the use of group work to teaching and practise theoretical concepts. Our work has three main...
Maria Isabel Alfonso, Francisco Mora