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Communication Dans Un Congrès Année : 2008

Density estimation with ensembles of randomized poly-trees

Résumé

In this work we explore the Perturb and Combine idea celebrated in supervised learning in the context of probability density estimation in high-dimensional spaces. We propose a new family of unsupervised learning methods of mixtures of large ensembles of randomly generated poly-trees. The specific feature of these methods is their scalability to very large numbers of variables and training instances. We explore various variants of these methods empirically on a set of discrete test problems of growing complexity.
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Dates et versions

hal-00568050 , version 1 (23-02-2011)

Identifiants

  • HAL Id : hal-00568050 , version 1

Citer

Sourour Ammar, Philippe Leray, Boris Defourny, Louis Wehenkel. Density estimation with ensembles of randomized poly-trees. BENELEARN 2008, May 2008, Spa, Belgium. pp.31-32. ⟨hal-00568050⟩
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