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BMCBI
2011
12 years 11 months ago
2011
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
IPMI
2001
Springer
14 years 8 months ago
2001
Springer
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
BMCBI
2007
13 years 7 months ago
2007
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
UAI
2004
13 years 9 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...