Generative topographic map (GTM) is a machine learning method that is a probabilistic counterpart of the self-organizing map (SOM), is probablyâ€¦Â (More)

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2015

2015

- JÃ©rÃ©mie Sublime, Nistor Grozavu, GuÃ©naÃ«l Cabanes, YounÃ¨s Bennani, Antoine CornuÃ©jols
- Int. J. Hybrid Intell. Syst.
- 2015

Collaborative clustering is a recent field of Machine Learning that shows similarities with both ensemble learning and transferâ€¦Â (More)

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2015

2015

- JÃ©rÃ©mie Sublime, Nistor Grozavu, YounÃ¨s Bennani, Antoine CornuÃ©jols
- 2015 7th International Conference of Softâ€¦
- 2015

Collaborative clustering is a recent field of Machine Learning that shows similarities with both transfer learning and ensembleâ€¦Â (More)

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2011

2011

- Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
- Neurocomputing
- 2011

The generative topographic mapping (GTM) has been proposed as a statistical model to represent highdimensional data by aâ€¦Â (More)

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2010

2010

- Andrej Gisbrecht, Bassam Mokbel, Barbara Hammer
- ESANN
- 2010

The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means ofâ€¦Â (More)

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2010

2010

- Andrej Gisbrecht, Barbara Hammer
- ESANN
- 2010

The generative topographic map (GTM) provides a flexible statistical model for unsupervised data inspection and topographicâ€¦Â (More)

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2010

2010

- IvÃ¡n Olier, Alfredo Vellido, JesÃºs Giraldo
- ESANN
- 2010

A kernel version of Generative Topographic Mapping, a model of the manifold learning family, is defined in this paper. Itsâ€¦Â (More)

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2008

2008

- IvÃ¡n Olier, Alfredo Vellido
- J. Math. Model. Algorithms
- 2008

General finite mixture models are powerful tools for the density-based grouping of multivariate i.i.d. data, but they lack dataâ€¦Â (More)

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2003

2003

- Alfredo Vellido, Wael El-Deredy, Paulo J. G. Lisboa
- IEEE Trans. Neural Networks
- 2003

Generative topographic mapping is a nonlinear latent variable model introduced by Bishop et al. as a probabilistic reformulationâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- Christopher M. Bishop, Markus SvensÃ©n, Christopher K. I. Williams
- Neural Computation
- 1998

Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number ofâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- Christopher M. Bishop, Markus SvensÃ©n, Christopher K. I. Williams
- Neurocomputing
- 1998

The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing mapâ€¦Â (More)

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