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ECML
2001
Springer
13 years 12 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
COLT
2010
Springer
13 years 5 months ago
Efficient Classification for Metric Data
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...
BMCBI
2007
143views more  BMCBI 2007»
13 years 7 months ago
RNAspa: a shortest path approach for comparative prediction of the secondary structure of ncRNA molecules
Background: In recent years, RNA molecules that are not translated into proteins (ncRNAs) have drawn a great deal of attention, as they were shown to be involved in many cellular ...
Yair Horesh, Tirza Doniger, Shulamit Michaeli, Ron...
BMCBI
2010
143views more  BMCBI 2010»
13 years 4 months ago
A genome alignment algorithm based on compression
Background: Traditional genome alignment methods consider sequence alignment as a variation of the string edit distance problem, and perform alignment by matching characters of th...
Minh Duc Cao, Trevor I. Dix, Lloyd Allison
ICML
2010
IEEE
13 years 8 months ago
Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
Philip M. Long, Rocco A. Servedio