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» A Case Study for Learning from Imbalanced Data Sets
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TSMC
2011
292views more  TSMC 2011»
15 years 28 days ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
BMCBI
2010
182views more  BMCBI 2010»
15 years 6 months ago
Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images
Background: Sub-cellular structures interact in numerous direct and indirect ways in order to fulfill cellular functions. While direct molecular interactions crucially depend on s...
Jo A. Helmuth, Grégory Paul, Ivo F. Sbalzar...
ILP
1999
Springer
15 years 10 months ago
Morphosyntactic Tagging of Slovene Using Progol
Abstract. We consider the task of tagging Slovene words with morphosyntactic descriptions (MSDs). MSDs contain not only part-of-speech information but also attributes such as gende...
James Cussens, Saso Dzeroski, Tomaz Erjavec
ICANN
2010
Springer
15 years 7 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
ESANN
1998
15 years 7 months ago
Recurrent SOM with local linear models in time series prediction
Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...