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Manifold learning methods model high-dimensional data through low-dimensional manifolds embedded in the observed data space.
Manifold learningmethodsmodel high-dimensional data through low-dimensional manifolds embedded in the observed data space. This simplification implies that ...
Several experiments with artificial data show that this strategy improves the continuity and trustworthiness of the data representation generated by the model.
Manifold learning methods model high-dimensional data thro- ugh low-dimensional manifolds embedded in the observed data space. This simplification implies ...
On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model · Raúl Cruz-Barbosa, A. Vellido · Published in Ideal 2 November 2008 ...
Title: On the improvement of the mapping trustworthiness and continuity of a manifold learning model ; Authors: Cruz, R., Vellido, A., ; Researchers (PRC): ...
Cruz, R.; Vellido, A. On the improvement of the mapping trustworthiness and continuity of a manifold learning model. "Lecture notes in computer science", ...
Raúl Cruz-Barbosa, Alfredo Vellido: On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model. IDEAL 2008: 266-273.
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Títol: On the improvement of the mapping trustworthiness and continuity of a manifold learning model. Autors: Cruz, R., Vellido, A.,.
On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model. Conference Paper. Nov 2008. Raúl Cruz-Barbosa ...