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» A Multi-Resolution Relational Data Model
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EJC
2008
13 years 10 months ago
Center Fragments for Upscaling and Verification in Database Semantics
The notion of a fragment was coined by Montague 1974 to illustrate the formal handling of certain puzzles, such as de dicto/de re, in a truth-conditional semantics for natural lan...
Roland Hausser
CVPR
2009
IEEE
15 years 4 months ago
Co-training with Noisy Perceptual Observations
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
Ashish Kapoor, Chris Mario Christoudias, Raquel Ur...
ICML
2007
IEEE
14 years 9 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICML
2006
IEEE
14 years 9 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
KDD
2008
ACM
128views Data Mining» more  KDD 2008»
14 years 9 months ago
Bypass rates: reducing query abandonment using negative inferences
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong