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» Dependent type inference with interpolants
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CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 8 months ago
Join Bayes Nets: A new type of Bayes net for relational data
Many real-world data are maintained in relational format, with different tables storing information about entities and their links or relationships. The structure (schema) of the ...
Oliver Schulte, Hassan Khosravi, Flavia Moser, Mar...
ICASSP
2010
IEEE
13 years 9 months ago
Empirical Type-i filter design for image interpolation
Empirical filter designs generalize relationships inferred from training data to effect realistic solutions that conform well to the human visual system. Complex algorithms invol...
Karl S. Ni, Truong Q. Nguyen
JUCS
2008
100views more  JUCS 2008»
13 years 8 months ago
Stacked Dependency Networks for Layout Document Structuring
: We address the problems of structuring and annotation of layout-oriented documents. We model the annotation problems as the collective classification on graph-like structures wit...
Boris Chidlovskii, Loïc Lecerf
ALT
2004
Springer
14 years 5 months ago
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
Steffen Lange, Sandra Zilles
CISS
2007
IEEE
14 years 22 days ago
Energy Efficient Routing for Statistical Inference of Markov Random Fields
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
Animashree Anandkumar, Lang Tong, Ananthram Swami