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» Predicting diverse subsets using structural SVMs
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BMCBI
2005
97views more  BMCBI 2005»
14 years 11 months ago
Sequence variation in ligand binding sites in proteins
Background: The recent explosion in the availability of complete genome sequences has led to the cataloging of tens of thousands of new proteins and putative proteins. Many of the...
Thomas J. Magliery, Lynne Regan
ICDE
2010
IEEE
220views Database» more  ICDE 2010»
14 years 9 months ago
Profiling linked open data with ProLOD
Linked open data (LOD), as provided by a quickly growing number of sources constitutes a wealth of easily accessible information. However, this data is not easy to understand. It i...
Christoph Böhm, Felix Naumann, Ziawasch Abedj...
TASE
2011
IEEE
14 years 6 months ago
Multiclass Flow Line Models of Semiconductor Manufacturing Equipment for Fab-Level Simulation
—For multiclass flow line models, we identify a class of service times that allow a decomposition of the system into subsets of servers called channels. In each channel, the cus...
James R. Morrison
IJCNN
2007
IEEE
15 years 6 months ago
A Wrapper for Projection Pursuit Learning
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Ferna...
PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
15 years 5 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet