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CSDA
2010
165views more  CSDA 2010»
15 years 1 months ago
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
Alessio Farcomeni, Alessandra Nardi
APWEB
2010
Springer
15 years 1 months ago
A Space and Time Efficient Algorithm for SimRank Computation
SimRank has been proposed to rank web documents based on a graph model on hyperlinks. The existing techniques for conducting SimRank computation adopt an iteration computation para...
Weiren Yu, Xuemin Lin, Jiajin Le
ICPR
2004
IEEE
16 years 2 months ago
Data Dependent Classifier Fusion for Construction of Stable Effective Algorithms
A measure of stability for a wide class of pattern recognition algorithms is introduced to cope with overfitting in classification problems. Based on this concept, constructive me...
Dmitry Kropotov, Dmitry Vetrov
MICCAI
2007
Springer
16 years 2 months ago
A Probabilistic Model for Haustral Curvatures with Applications to Colon CAD
Among the many features used for classification in computer-aided detection (CAD) systems targeting colonic polyps, those based on differences between the shapes of polyps and fold...
John Melonakos, Paulo R. S. Mendonça, Rahul...
ICML
2005
IEEE
16 years 2 months ago
Learning Gaussian processes from multiple tasks
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Kai Yu, Volker Tresp, Anton Schwaighofer