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» Learning probabilistic models of the Web
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MLDM
2005
Springer
15 years 12 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
NGITS
1995
Springer
15 years 10 months ago
Category Translation: Learning to Understand Information on the Internet
This paper investigates the problem ofautomatically learning declarative models of information sources available on the Internet. We report on ILA, a domain-independent program th...
Mike Perkowitz, Oren Etzioni
POPL
2007
ACM
16 years 6 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic
CIKM
2011
Springer
14 years 6 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
ECTEL
2006
Springer
15 years 10 months ago
Informal Learning Theories and Tools to Support Knowledge Management in Distributed CoPs
In this work informal learning theories and practices and social networking features are taken as starting points to build a reference collaboration model to support collaborative ...
Maria Chiara Pettenati, Maria Ranieri