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» Using Inverse Resolution to Learn Relations from Experiments
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SEMWEB
2010
Springer
14 years 7 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
MICCAI
2007
Springer
15 years 10 months ago
Hyperspherical von Mises-Fisher Mixture (HvMF) Modelling of High Angular Resolution Diffusion MRI
A mapping of unit vectors onto a 5D hypersphere is used to model and partition ODFs from HARDI data. This mapping has a number of useful and interesting properties and we make a li...
Abhir Bhalerao, Carl-Fredrik Westin
IPPS
2003
IEEE
15 years 2 months ago
Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters
The PAPI project has defined and implemented a crossplatform interface to the hardware counters available on most modern microprocessors. The interface has gained widespread use ...
Jack Dongarra, Kevin S. London, Shirley Moore, Phi...
ECAI
2004
Springer
15 years 1 months ago
Bias Windowing for Relational Learning
A central issue in relational learning is the choice of an appropriate bias for limiting first-order induction. The purpose of this study is to circumvent this issue within a unifo...
Frédéric Koriche
AAAI
2011
13 years 9 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