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UAI
2003
15 years 5 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
ASWC
2009
Springer
15 years 5 months ago
Merging and Ranking Answers in the Semantic Web: The Wisdom of Crowds
In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our pr...
Vanessa Lopez, Andriy Nikolov, Miriam Ferná...
BILDMED
2009
125views Algorithms» more  BILDMED 2009»
15 years 5 months ago
Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis
A drawback of the commonly used single source computed tomography systems (CT) is that different materials might show very similar attenuation at any selected radiation energy. How...
Stefan C. Saur, Hatem Alkadhi, Luca Regazzoni, Sim...
COLING
2002
15 years 3 months ago
Study of Practical Effectiveness for Machine Translation Using Recursive Chain-link-type Learning
A number of machine translation systems based on the learning algorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...
IJPP
2008
158views more  IJPP 2008»
15 years 3 months ago
The ParTriCluster Algorithm for Gene Expression Analysis
Analyzing gene expression patterns is becoming a highly relevant task in the Bioinformatics area. This analysis makes it possible to determine the behavior patterns of genes under...
Renata Braga Araújo, Guilherme Henrique Tri...