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IJCAI
2003
15 years 8 months ago
Deep Annotation for Information Integration
The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. For this purpose, we consider an integration scenario that defies co...
Siegfried Handschuh, Steffen Staab, Raphael Volz, ...
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 7 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
IJON
2006
161views more  IJON 2006»
15 years 6 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
JMLR
2006
138views more  JMLR 2006»
15 years 6 months ago
Noisy-OR Component Analysis and its Application to Link Analysis
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
Tomás Singliar, Milos Hauskrecht
CN
2004
136views more  CN 2004»
15 years 6 months ago
Managing service level agreements in Premium IP networks: a business-oriented approach
This paper presents a market-enabling framework where users, content providers and network operators can interact in the seamless, transparent sale and delivery of a wide range of...
Salvatore D'Antonio, Maurizio D'Arienzo, Marcello ...