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...
- 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...
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...
Knowledge "objects' are proposed as a modelling framework which facilitates the reuse of knowledge. Knowledgeobjects are operators which maybe used to construct the ...
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...