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| HAL: hal-00568050, version 1 |
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| BENELEARN 2008, Spa : Belgique (2008) |
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| Density estimation with ensembles of randomized poly-trees |
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| Sourour Ammar 1Philippe Leray 1 |
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| (2008) |
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| 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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| 1: | Laboratoire d'Informatique de Nantes Atlantique (LINA) |
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CNRS : UMR6241 – Université de Nantes – École Nationale Supérieure des Mines - Nantes |
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| 2: | Department of Electrical Engineering and Computer Science (Institut Montefiore) |
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Université de Liège |
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| Subject | : | Computer Science/Learning |
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| hal-00568050, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00568050 | |
| oai:hal.archives-ouvertes.fr:hal-00568050 | |
| From: Sourour Ammar | |
| Submitted on: Wednesday, 23 February 2011 10:56:13 | |
| Updated on: Wednesday, 23 February 2011 14:16:16 | |
