Generative manifold learning for the exploration of partially labeled data

Generative manifold learning for the exploration of partially labeled data

In many real-world application problems, the availability of data labels for supervised learning is rather limited. Incompletely labeled datasets are common in many of the databases generated in some of the currently most active areas of research. It is often the case that a limited number of labele...

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Bibliographic Details
Main Author: Cruz Barbosa, Raúl
Other Authors: Vellido, Alfredo
Format: Doctoral Thesis
Language:Catalan
Published: Universitat Politècnica de Catalunya 2009
Subjects:
Semi-supervised learning
Generative topographic mapping
Geodesic distance
Manifold learning
Clustering
Visualitzation
Classification
004
Online Access:http://hdl.handle.net/10803/78053

Internet

http://hdl.handle.net/10803/78053

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