Y. Guermeur

发表

Margin Error and Generalization Capabilities of Multi-Class Discriminant Systems

A. Elisseeff, H. Paugam-Moisy, Y. Guermeur, 2000 .

Sample Complexity of Classifiers Taking Values in ℝ Q , Application to Multi-Class SVMs

Y. Guermeur, 2010 .

Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities

Yann Guermeur, Y. Guermeur, 2013 .

A comparative study of multi-class support vector machines in the unifying framework of large margin classifiers

A. Elisseeff, Y. Guermeur, D. Zelus, 2005 .

ha l00 15 69 14 , v er si on 1-2 5 Ju n 20 07 Scale-sensitive Ψ-dimensions : the Capacity Measures for Classifiers Taking Values in R Q

Y. Guermeur, 2007 .

Radius-Margin Bound on the Leave-One-Out Error of a M-SVM

Y. Guermeur, E. Monfrini, 2005 .

Model Selection for Multi-class SVMs

Y. Guermeur, F. Sur, M. Maumy, 2005 .

SVM Multiclasses, Théorie et Applications

Yann Guermeur, Y. Guermeur, 2007 .

Large Margin Multi-category Discriminant Models and Scale-sensitive Psi-dimensions

Yann Guermeur, Y. Guermeur, 2004 .

Prediction of in-plane amphipathic membrane segment based on an SVM method

Y. Guermeur, G. Deléage, Nicolas Sapay, 2005 .

Inferring (cid:15) -nets of Finite Sets in a RKHS

Isaure Chauvot de Beauchêne, Y. Guermeur, Antoine Moniot, 2022 .

Inferring epsilon-nets of Finite Sets in a RKHS

Isaure Chauvot de Beauchêne, Y. Guermeur, Antoine Moniot, 2022 .

Rademacher complexity of margin multi-category classifiers

Y. Guermeur, 2018, Neural Computing and Applications.

Generalization Bounds for Inductive Matrix Completion in Low-noise Settings

M. Kloft, Y. Guermeur, Yunwen Lei, 2022, ArXiv.

Combinaison linéaire optimale de classifieurs

Patrick Gallinari, Yann Guermeur, Florence d'Alché-Buc, 1997 .

A generic model of multi-class support vector machine

Yann Guermeur, Y. Guermeur, 2012, Int. J. Intell. Inf. Database Syst..

A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies

Emmanuel Monfrini, Yann Guermeur, Y. Guermeur, 2011, Informatica.

A generic approach to biological sequence segmentation problems, application to protein secondary structure prediction

Yann Guermeur, Fabien Lauer, Y. Guermeur, 2015 .

Comments on: Support Vector Machines Maximizing Geometric Margins for Multi-class Classification

Yann Guermeur, Y. Guermeur, 2014 .

Variables Selection for Multiclass SVM Using the Multiclass Radius Margin Bound

Yann Guermeur, Boujemâa Achchab, Rafik Abdesselam, 2014 .

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction

Yann Guermeur, Fabienne Thomarat, Fabien Lauer, 2012, PRIB.

Hybrid Feature Selection and Svm-based Classification for Mouse Skin Precancerous Stages Diagnosis from Bimodal Spectroscopy References

V. B. Kartha, F Abdat, M Amouroux, 2022 .

Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction

Yann Guermeur, Fabienne Thomarat, Y. Guermeur, 2011, PRIB.

MSVMpack: A Multi-Class Support Vector Machine Package

Yann Guermeur, Fabien Lauer, Y. Guermeur, 2011, J. Mach. Learn. Res..

Ensemble Methods of Appropriate Capacity for Multi-Class Support Vector Machines

Yann Guermeur, Y. Guermeur, 2010 .

Radius-Margin Bound on the Leave-One-Out Error of the LLW-M-SVM

Y. Guermeur, E. Monfrini, 2009 .

HECTAR: A method to predict subcellular targeting in heterokonts

Yann Guermeur, Bernhard Gschloessl, J. Mark Cock, 2008, BMC Bioinformatics.

A Quadratic Loss Multi-Class SVM pdf

Emmanuel Monfrini, Yann Guermeur, Y. Guermeur, 2008, ArXiv.

VC Theory of Large Margin Multi-Category Classifiers

Yann Guermeur, Y. Guermeur, 2007, J. Mach. Learn. Res..

A comparative study of multi-class support vector machines in the unifying framework of large margin classifiers: Research Articles

Yann Guermeur, André Elisseeff, Dominique Zelus, 2005 .

Combining protein secondary structure prediction models with ensemble methods of optimal complexity

Gianluca Pollastri, Hélène Paugam-Moisy, Yann Guermeur, 2004, Neurocomputing.

Combining Discriminant Models with New Multi-Class SVMs

Yann Guermeur, Y. Guermeur, 2002, Pattern Analysis & Applications.

A new multi-class SVM based on a uniform convergence result

Hélène Paugam-Moisy, Yann Guermeur, André Elisseeff, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Improved performance in protein secondary structure prediction by inhomogeneous score combination

Christophe Geourjon, Gilbert Deléage, Yann Guermeur, 1999, Bioinform..

Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier

Gilbert Deléage, Yann Guermeur, Nicolas Sapay, 2006, BMC Bioinformatics.

Rademacher complexity and generalization performance of multi-category margin classifiers

Yann Guermeur, Fabien Lauer, Khadija Musayeva, 2018, Neurocomputing.

Combinatorial and Structural Results for gamma-Psi-dimensions pdf

Yann Guermeur, Y. Guermeur, 2018, ArXiv.

Combinatorial and Structural Results for γ-Ψ-dimensions

Yann Guermeur, Y. Guermeur, 2018 .

A sharper bound on the Rademacher complexity of margin multi-category classifiers

Yann Guermeur, Fabien Lauer, Khadija Musayeva, 2018, ESANN.

Rademacher complexity of margin multi-category classifiers

Yann Guermeur, Y. Guermeur, 2017, 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM).

Lp-norm Sauer-Shelah lemma for margin multi-category classifiers

Yann Guermeur, Y. Guermeur, 2016, J. Comput. Syst. Sci..

Twelve Numerical, Symbolic and Hybrid Supervised Classification Methods

Richard Nock, Bernadette Bouchon-Meunier, Christophe Marsala, 1998, Int. J. Pattern Recognit. Artif. Intell..

Docking of RNA Hairpin on Protein Using a Fragment-Based Method

Isaure Chauvot de Beauchêne, Antoine Moniot, Rohit Roy, 2020 .

Multidimensional spectroscopic data fusion improves precancerous tissue discrimination based on spatially resolved autofluorescence and diffuse reflectance spectroscopy

Walter Blondel, Yann Guermeur, Marine Amouroux, 2015, European Conference on Biomedical Optics.

Spatially resolved multimodal in vivo spectroscopy data fusion for discriminating precancerous states

Y. Guermeur, W. Blondel, F. Abdat, 2014, 2014 International Conference Laser Optics.

Multimodality Fibered in Vivo Spectroscopy Applied to Skin Hyperplastic and Dysplastic Class Discrimination: Spatially Resolved Data Fusion-Based Classification

Walter Blondel, Yann Guermeur, Marine Amouroux, 2017, 2017 Asia Communications and Photonics Conference (ACP).

Linear Ensemble Methods for Multiclass Discrimination

Hélène Paugam-Moisy, Yann Guermeur, H. Paugam-Moisy, 1998 .

Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier

Y. Guermeur, G. Deléage, Nicolas Sapay, 2006, BMC Bioinformatics.