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» Using Inverse Resolution to Learn Relations from Experiments
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ICML
2009
IEEE
15 years 10 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
CVPR
2012
IEEE
13 years 2 days ago
Real-time facial feature detection using conditional regression forests
Although facial feature detection from 2D images is a well-studied field, there is a lack of real-time methods that estimate feature points even on low quality images. Here we pr...
Matthias Dantone, Juergen Gall, Gabriele Fanelli, ...
EMNLP
2010
14 years 7 months ago
Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping
Almost all Chinese language processing tasks involve word segmentation of the language input as their first steps, thus robust and reliable segmentation techniques are always requ...
Baobao Chang, Dongxu Han
CIARP
2008
Springer
14 years 11 months ago
Learning and Forgetting with Local Information of New Objects
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
Fernando Vázquez, José Salvador S&aa...
94
Voted
PVLDB
2010
161views more  PVLDB 2010»
14 years 8 months ago
Annotating and Searching Web Tables Using Entities, Types and Relationships
Tables are a universal idiom to present relational data. Billions of tables on Web pages express entity references, attributes and relationships. This representation of relational...
Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti