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» Multidimensional Data Modeling for Complex Data
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WWW
2006
ACM
16 years 7 months ago
Knowledge modeling and its application in life sciences: a tale of two ontologies
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...
JAPLL
2010
179views more  JAPLL 2010»
15 years 5 months ago
Tractable query answering and rewriting under description logic constraints
Answering queries over an incomplete database w.r.t. a set of constraints is an important computational task with applications in fields as diverse as information integration and ...
Héctor Pérez-Urbina, Boris Motik, Ia...
EGC
2005
Springer
16 years 8 days ago
OpenMolGRID: Using Automated Workflows in GRID Computing Environment
Quantitative Structure Activity/Property Relationship (QSAR/QSPR) model development is a complex and time-consuming procedure involving data gathering and preparation. It plays an ...
Sulev Sild, Uko Maran, Mathilde Romberg, Bernd Sch...
IJON
2011
169views more  IJON 2011»
15 years 1 months ago
Exploiting local structure in Boltzmann machines
Restricted Boltzmann Machines (RBM) are well-studied generative models. For image data, however, standard RBMs are suboptimal, since they do not exploit the local nature of image ...
Hannes Schulz, Andreas Müller 0004, Sven Behn...
RECSYS
2010
ACM
15 years 7 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street