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You searched for +publisher:"Université Catholique de Louvain" +contributor:("Rossi, Fabrice"). Showing records 1 – 7 of 7 total matches.

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Université Catholique de Louvain

1. Gualberto Ferreira Coelho, Frederico. Semi-supervised feature selection.

Degree: 2013, Université Catholique de Louvain

As data acquisition has become relatively easy and inexpensive, data sets are becoming extremely large, both in the number of variables and in the number… (more)

Subjects/Keywords: Machine learning; Feature selection; Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gualberto Ferreira Coelho, F. (2013). Semi-supervised feature selection. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/128255

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gualberto Ferreira Coelho, Frederico. “Semi-supervised feature selection.” 2013. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/128255.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gualberto Ferreira Coelho, Frederico. “Semi-supervised feature selection.” 2013. Web. 25 Jun 2019.

Vancouver:

Gualberto Ferreira Coelho F. Semi-supervised feature selection. [Internet] [Thesis]. Université Catholique de Louvain; 2013. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/128255.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gualberto Ferreira Coelho F. Semi-supervised feature selection. [Thesis]. Université Catholique de Louvain; 2013. Available from: http://hdl.handle.net/2078.1/128255

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

2. Yen, Luh. Proximities on graphs : application to node clustering and visualization.

Degree: 2010, Université Catholique de Louvain

Traditional approaches from statistics, pattern recognition, machine-learning, or data-mining usually assume an independent and identically-distributed (i.i.d.) sample of objects, which normally leads to a double-entry… (more)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yen, L. (2010). Proximities on graphs : application to node clustering and visualization. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/32804

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yen, Luh. “Proximities on graphs : application to node clustering and visualization.” 2010. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/32804.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yen, Luh. “Proximities on graphs : application to node clustering and visualization.” 2010. Web. 25 Jun 2019.

Vancouver:

Yen L. Proximities on graphs : application to node clustering and visualization. [Internet] [Thesis]. Université Catholique de Louvain; 2010. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/32804.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yen L. Proximities on graphs : application to node clustering and visualization. [Thesis]. Université Catholique de Louvain; 2010. Available from: http://hdl.handle.net/2078.1/32804

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

3. Krier, Catherine. Non-linear models and learning for Near Infrared spectra.

Degree: 2010, Université Catholique de Louvain

Near Infrared (NIR) spectrometry is a non-destructive and relatively cheap technology which enables automated controls in various domains such as food industry or pharmaceutics. Yet,… (more)

Subjects/Keywords: Near Infrared; Machine learning; Dimensionality reduction; Clustering; Functional representation; Feature selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Krier, C. (2010). Non-linear models and learning for Near Infrared spectra. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/32234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Krier, Catherine. “Non-linear models and learning for Near Infrared spectra.” 2010. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/32234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krier, Catherine. “Non-linear models and learning for Near Infrared spectra.” 2010. Web. 25 Jun 2019.

Vancouver:

Krier C. Non-linear models and learning for Near Infrared spectra. [Internet] [Thesis]. Université Catholique de Louvain; 2010. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/32234.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krier C. Non-linear models and learning for Near Infrared spectra. [Thesis]. Université Catholique de Louvain; 2010. Available from: http://hdl.handle.net/2078.1/32234

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

4. Doquire, Gauthier. Non-parametric feature selection for machine learning in complex settings.

Degree: 2013, Université Catholique de Louvain

In our big data society, the possibilities of acquiring and storing data are continuously increasing. Therefore, very large datasets are often constructed for a given… (more)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Doquire, G. (2013). Non-parametric feature selection for machine learning in complex settings. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/134617

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Doquire, Gauthier. “Non-parametric feature selection for machine learning in complex settings.” 2013. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/134617.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Doquire, Gauthier. “Non-parametric feature selection for machine learning in complex settings.” 2013. Web. 25 Jun 2019.

Vancouver:

Doquire G. Non-parametric feature selection for machine learning in complex settings. [Internet] [Thesis]. Université Catholique de Louvain; 2013. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/134617.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doquire G. Non-parametric feature selection for machine learning in complex settings. [Thesis]. Université Catholique de Louvain; 2013. Available from: http://hdl.handle.net/2078.1/134617

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

5. Onclinx, Victor. Dimensionality reduction for visualization : representing on manifolds and preserving ranks.

Degree: 2015, Université Catholique de Louvain

Because of the increasing facility to collect and to store large amounts of features, industrial and research fields have more and more to deal with… (more)

Subjects/Keywords: Dimensionality reduction; Visualization; Ranks; Manifolds

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Onclinx, V. (2015). Dimensionality reduction for visualization : representing on manifolds and preserving ranks. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/160847

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Onclinx, Victor. “Dimensionality reduction for visualization : representing on manifolds and preserving ranks.” 2015. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/160847.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Onclinx, Victor. “Dimensionality reduction for visualization : representing on manifolds and preserving ranks.” 2015. Web. 25 Jun 2019.

Vancouver:

Onclinx V. Dimensionality reduction for visualization : representing on manifolds and preserving ranks. [Internet] [Thesis]. Université Catholique de Louvain; 2015. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/160847.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Onclinx V. Dimensionality reduction for visualization : representing on manifolds and preserving ranks. [Thesis]. Université Catholique de Louvain; 2015. Available from: http://hdl.handle.net/2078.1/160847

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

6. François, Damien. High-dimensional data analysis : optimal metrics and feature selection.

Degree: 2007, Université Catholique de Louvain

High-dimensional data are everywhere: texts, sounds, spectra, images, etc. are described by thousands of attributes. However, many data analysis tools at disposal (coming from statistics,… (more)

Subjects/Keywords: High-dimensional data; Machine learning; Data analysis; Data mining; Artificial intelligence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

François, D. (2007). High-dimensional data analysis : optimal metrics and feature selection. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/5170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

François, Damien. “High-dimensional data analysis : optimal metrics and feature selection.” 2007. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/5170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

François, Damien. “High-dimensional data analysis : optimal metrics and feature selection.” 2007. Web. 25 Jun 2019.

Vancouver:

François D. High-dimensional data analysis : optimal metrics and feature selection. [Internet] [Thesis]. Université Catholique de Louvain; 2007. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/5170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

François D. High-dimensional data analysis : optimal metrics and feature selection. [Thesis]. Université Catholique de Louvain; 2007. Available from: http://hdl.handle.net/2078.1/5170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université Catholique de Louvain

7. Delannay, Nicolas. Aspects of probabilistic modelling for data analysis.

Degree: 2007, Université Catholique de Louvain

Computer technologies have revolutionised the processing of information and the search for knowledge. With the ever increasing computational power, it is becoming possible to tackle… (more)

Subjects/Keywords: Data mining; Machine learning; Bayesian statistics; Robust statistics; Regression; NIR spectroscopy; Collaborative filtering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Delannay, N. (2007). Aspects of probabilistic modelling for data analysis. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/5050

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Delannay, Nicolas. “Aspects of probabilistic modelling for data analysis.” 2007. Thesis, Université Catholique de Louvain. Accessed June 25, 2019. http://hdl.handle.net/2078.1/5050.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Delannay, Nicolas. “Aspects of probabilistic modelling for data analysis.” 2007. Web. 25 Jun 2019.

Vancouver:

Delannay N. Aspects of probabilistic modelling for data analysis. [Internet] [Thesis]. Université Catholique de Louvain; 2007. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2078.1/5050.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Delannay N. Aspects of probabilistic modelling for data analysis. [Thesis]. Université Catholique de Louvain; 2007. Available from: http://hdl.handle.net/2078.1/5050

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.