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» Hierarchical exploration of large multivariate data sets
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MLDM
2005
Springer
14 years 2 months ago
Supervised Evaluation of Dataset Partitions: Advantages and Practice
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
Sylvain Ferrandiz, Marc Boullé
MT
2007
100views more  MT 2007»
13 years 8 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
BIBE
2004
IEEE
149views Bioinformatics» more  BIBE 2004»
14 years 14 days ago
Interactive 3D Protein Structure Visualization Using Virtual Reality
Large-scale biomedical data sets of macromolecular structures such as DNA and proteins describe highly complex biomolecular entities which often consist of thousands of atoms and ...
Elke Moritz, Jörg Meyer
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
14 years 9 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
ICMCS
2009
IEEE
147views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Not all tags are created equal: Learning flickr tag semantics for global annotation
Large collaborative datasets offer the challenging opportunity of creating systems capable of extracting knowledge in the presence of noisy data. In this work we explore the abili...
Emily Moxley, Jim Kleban, Jiejun Xu, B. S. Manjuna...