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SDM
2004
SIAM
211views Data Mining» more  SDM 2004»
14 years 11 months ago
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects
Databases are a key technology for molecular biology which is a very data intensive discipline. Since molecular biological databases are rather heterogeneous, unification and data...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
BMCBI
2008
116views more  BMCBI 2008»
14 years 10 months ago
Structuring an event ontology for disease outbreak detection
Background: This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natu...
Ai Kawazoe, Hutchatai Chanlekha, Mika Shigematsu, ...
BMCBI
2010
182views more  BMCBI 2010»
14 years 10 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
EKAW
1992
Springer
15 years 2 months ago
eQuality: An Application of DDucks to Process Management
Process management is a method for improving Boeing's business processes, however many aspects have been difficult to implement. eQuality is a software system based on a frame...
Jeffrey Bradshaw, Peter Holm, Oscar Kipersztok, Th...
BMCBI
2008
126views more  BMCBI 2008»
14 years 10 months ago
ISOL@: an Italian SOLAnaceae genomics resource
Background: Present-day `-omics' technologies produce overwhelming amounts of data which include genome sequences, information on gene expression (transcripts and proteins) a...
Maria Luisa Chiusano, Nunzio D'Agostino, Alessandr...