Výsledky vyhledávání - "multi-class SVMs"

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Machine Learning Based Object Classification and Identification Scheme Using an Embedded Millimeter-Wave Radar Sensor

Autor: Homa Arab, Iman Ghaffari, Lydia Chioukh, Serioja Tatu, Steven Dufour

Publikováno v: Sensors, Vol 21, Iss 13, p 4291 (2021)

A target’s movements and radar cross sections are the key parameters to consider when designing a radar sensor for a given application. This paper shows the feasibility and effectiveness of using 24 GHz radar built-in low-noise microwave amplifiers

Externí odkaz: https://doaj.org/article/61f69b2b2ce6440bb0a9b54129b480a2

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Akademický článek

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Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning

Autor: Covões, Thiago F., Barros, Rodrigo C., da Silva, Tiago S., Hruschka, Eduardo R., de Carvalho, Andre C. P. L. F.

Publikováno v: Journal of Information and Data Management; Vol 4 No 3 (2013): SBBD 2013; 357
Journal of Information and Data Management; v. 4 n. 3 (2013): SBBD 2013; 357
Journal of Information and Data Management; v. 4, n. 3 (2013): SBBD 2013; 357

Semi-supervised approaches have been successfully applied to many machine learning problems. A particular case of semi-supervised settings is transductive learning, in which the goal is solely to label the available unlabeled data, instead of generat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3963e6fa32f1bbbb2d7fea73940be85a
https://seer.ufmg.br/index.php/jidm/article/view/221

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

Autor: Guermeur, Yann, Monfrini, Emmanuel

Publikováno v: Informatica (ISSN 0868-4952) International Journal
Informatica (ISSN 0868-4952) International Journal, 2011, 22 (1), pp.73-96

International audience; To set the values of the hyperparameters of a support vector machine (SVM), the method of choice is cross-validation. Several upper bounds on the leave-one-out error of the pattern recognition SVM have been derived. One of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3ed88cdc09bc56da4d503a511cc0802d
https://hal.archives-ouvertes.fr/hal-00596121/document

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VC theory of large margin multi-category classifiers

Autor: Guermeur, Yann

Publikováno v: Journal of Machine Learning Research
Journal of Machine Learning Research, Microtome Publishing, 2007, 8, pp.2551-2594
Journal of Machine Learning Research, 2007, 8, pp.2551-2594

URL : http://jmlr.csail.mit.edu/papers/v8/; International audience; In the context of discriminant analysis, Vapnik's statistical learning theory has mainly been developed in three directions: the computation of dichotomies with binary-valued functio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::eed98932a62b928056fd92c3018ecf16
https://hal.archives-ouvertes.fr/hal-00203093

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Model selection for multi-class SVMs

Autor: Guermeur, Yann, Maumy, Myriam, Sur, Frédéric

Publikováno v: International Symposium on Applied Stochastic Models and Data Analysis-ASMDA 2005
International Symposium on Applied Stochastic Models and Data Analysis-ASMDA 2005, May 2005, Brest, France

http://asmda2005.enst-bretagne.fr/; International audience; In the framework of statistical learning, fitting a model to a given problem is usually done in two steps. First, model selection is performed, to set the values of the hyperparameters. Seco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::398c811981ae2e8578ba33d7cf7e82bb
https://hal.inria.fr/inria-00104299

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

Autor: Guermeur, Yann

Publikováno v: [Research Report] RR-5314, INRIA. 2004, pp.49

In the context of discriminant analysis, Vapnik's statistical learning theory has mainly been developed in three directions: the computation of dichotomies with binary-valued functions, the computation of dichotomies with real-valued functions, and t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a84737cd1e28b65ec113cf07c2973e82
https://inria.hal.science/inria-00070686

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Bound on the Risk for M-SVMs

Autor: Guermeur, Yann, Elisseeff, André, Zelus, Dominique

Publikováno v: Statistical Learning, Theory and Applications 2002
Statistical Learning, Theory and Applications 2002, CNAM, 2002, Paris, France, 5 p

Titre et document en anglais, résumé en français. Colloque avec actes et comité de lecture. internationale.; International audience; La conception d'architectures SVM dédiées aux tâches de discrimination à catégories multiples constitue actu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7d3b6424f85b1b36c15b684f742108bc
https://inria.hal.science/inria-00100807

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