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» Active learning in very large databases
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ICSM
2005
IEEE
15 years 5 months ago
Design Pattern Mining Enhanced by Machine Learning
Design patterns present good solutions to frequently occurring problems in object-oriented software design. Thus their correct application in a system’s design may significantl...
Rudolf Ferenc, Árpád Beszédes...
GCB
2000
Springer
99views Biometrics» more  GCB 2000»
15 years 3 months ago
Structure Motif Discovery and Mining the PDB
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, ...
MLMI
2005
Springer
15 years 5 months ago
Can Chimeric Persons Be Used in Multimodal Biometric Authentication Experiments?
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications....
Norman Poh, Samy Bengio
BMCBI
2007
157views more  BMCBI 2007»
14 years 11 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
DATAMINE
1999
108views more  DATAMINE 1999»
14 years 11 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri