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» Probabilistic-Logic Models: Reasoning and Learning with Rela...
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EMNLP
2006
14 years 11 months ago
Boosting Unsupervised Relation Extraction by Using NER
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Ronen Feldman, Benjamin Rosenfeld
ICML
2007
IEEE
15 years 10 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
CVPR
2012
IEEE
13 years 7 days ago
Structured Local Predictors for image labelling
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
Samuel Rota Bulò, Peter Kontschieder, Marce...
IEE
2008
115views more  IEE 2008»
14 years 10 months ago
Faithful mapping of model classes to mathematical structures
ion techniques are indispensable for the specification and verification of functional behavior of programs. In object-oriented ation languages like JML, a powerful abstraction tec...
Ádám Darvas, Peter Müller
NIPS
2000
14 years 11 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...