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ICANN
2007
Springer
16 years 7 days ago
Split-Merge Incremental LEarning (SMILE) of Mixture Models
In this article we present an incremental method for building a mixture model. Given the desired number of clusters K ≥ 2, we start with a two-component mixture and we optimize t...
Konstantinos Blekas, Isaac E. Lagaris
IAW
2003
IEEE
15 years 11 months ago
Static Verification of Worm and virus Behavior in binary Executables using Model Checking
- Use offormal methods in any application scenario requires a precise characterization and representation of the properties that need to be verified The target, which is desired ri...
Prabhat K. Singh, Arun Lakhotia
ESANN
2003
15 years 7 months ago
Kernel PLS variants for regression
Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
FLAIRS
1998
15 years 7 months ago
A Framework for Knowledge Reuse
Knowledge "objects' are proposed as a modelling framework which facilitates the reuse of knowledge. Knowledgeobjects are operators which maybe used to construct the ...
John K. Debenham
PAMI
2006
215views more  PAMI 2006»
15 years 6 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...