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PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
13 years 11 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
BMCBI
2008
103views more  BMCBI 2008»
13 years 7 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini
BMCBI
2006
59views more  BMCBI 2006»
13 years 7 months ago
Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data
Background: Circular Dichroism (CD) spectroscopy is a widely used method for studying protein structures in solution. Modern synchrotron radiation CD (SRCD) instruments have consi...
Jonathan G. Lees, Andrew J. Miles, Robert W. Janes...
ICA
2012
Springer
12 years 3 months ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...
CCGRID
2004
IEEE
13 years 11 months ago
Evolutionary molecular structure determination using Grid-enabled data mining
A new computational framework is developed for the evolutionary determination of molecular crystal structures using the Shake-and-Bake methodology. Genetic algorithms are performe...
Mark L. Green, Russ Miller