Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Elghazel, Haytham"'
The PAC-Bayesian framework has significantly advanced our understanding of statistical learning, particularly in majority voting methods. However, its application to multi-view learning remains underexplored. In this paper, we extend PAC-Bayesian the
Externí odkaz:
http://arxiv.org/abs/2411.06276
This paper presents a series of new results for domain adaptation in the multi-view learning setting. The incorporation of multiple views in the domain adaptation was paid little attention in the previous studies. In this way, we propose an analysis
Externí odkaz:
http://arxiv.org/abs/2401.01048
Autor:
Lefebvre, Guillaume, Elghazel, Haytham, Guillet, Theodore, Aussem, Alexandre, Sonnati, Matthieu
Publikováno v:
In Data & Knowledge Engineering March 2024 150
Publikováno v:
Expert Systems with Applications, Elsevier, 2014, 41 (15), pp.6755-6772
We present a novel hybrid algorithm for Bayesian network structure learning, called H2PC. It first reconstructs the skeleton of a Bayesian network and then performs a Bayesian-scoring greedy hill-climbing search to orient the edges. The algorithm is
Externí odkaz:
http://arxiv.org/abs/1506.05692
We present a novel hybrid algorithm for Bayesian network structure learning, called Hybrid HPC (H2PC). It first reconstructs the skeleton of a Bayesian network and then performs a Bayesian-scoring greedy hill-climbing search to orient the edges. It i
Externí odkaz:
http://arxiv.org/abs/1505.05004
Publikováno v:
In Expert Systems With Applications 15 September 2016 57:1-11
Publikováno v:
In Expert Systems With Applications 1 November 2014 41(15):6755-6772
Akademický článek
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Autor:
Magrangeas, Florence, Kuiper, Rowan, Avet-Loiseau, Hervé, Gouraud, Wilfried, Guérin-Charbonnel, Catherine, Ferrer, Ludovic, Aussem, Alexandre, Elghazel, Haytham, Suhard, Jérôme, Der Sakissian, Henri, Attal, Michel, Munshi, Nikhil, Sonneveld, Pieter, Dumontet, Charles, Moreau, Philippe, Van Duin, Mark, Campion, Loïc, Minvielle, Stéphane
Publikováno v:
Clinical Cancer Research
Clinical Cancer Research, American Association for Cancer Research, 2016, Epub ahead of print. ⟨10.1158/1078-0432.CCR-15-3163⟩
Clinical Cancer Research, American Association for Cancer Research, 2016, Epub ahead of print. ⟨10.1158/1078-0432.CCR-15-3163⟩
International audience; Purpose: Painful peripheral neuropathy is a frequent toxicity associated with bortezomib therapy.This study aimed to identify loci that affect susceptibility to this toxicity.Experimental Design: A genome-wide association stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::09df7e7799e60700308a63cc6544ab4a
https://www.hal.inserm.fr/inserm-01313506
https://www.hal.inserm.fr/inserm-01313506
Publikováno v:
Proceedings of the 32nd International Conference on Machine Learning
International Conference on Machine Learning
International Conference on Machine Learning, Jul 2015, Lille, France. pp.2531--2539
International Conference on Machine Learning
International Conference on Machine Learning, Jul 2015, Lille, France. pp.2531--2539
International audience; The benefit of exploiting label dependence in multi-label classification is known to be closely dependent on the type of loss to be minimized. In this paper, we show that the subsets of labels that appear as irreducible factor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::eeef60a4812f1663dd913a2e10a3397b
https://hal.archives-ouvertes.fr/hal-01234346
https://hal.archives-ouvertes.fr/hal-01234346