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ESOP
2011
Springer
14 years 7 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 4 months ago
Expressing OLAP operators with the TAX XML algebra
With the rise of XML as a standard for representing business data, XML data warehouses appear as suitable solutions for Web-based decision-support applications. In this context, i...
Marouane Hachicha, Hadj Mahboubi, Jérô...
ISCI
2008
108views more  ISCI 2008»
15 years 4 months ago
Modeling and manipulating the structure of hierarchical schemas for the web
The Semantic Web is the next step of the current Web where information will become more machine-understandable to support effective data discovery and integration. Hierarchical sc...
Theodore Dalamagas, Alexandra Meliou, Timos K. Sel...
152
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CIKM
2008
Springer
15 years 6 months ago
Kernel methods, syntax and semantics for relational text categorization
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
Alessandro Moschitti
CP
2007
Springer
15 years 10 months ago
Boosting Probabilistic Choice Operators
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Matthieu Petit, Arnaud Gotlieb