Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sun-Hosoya, Lisheng"'
Autor:
Couto, Paulo Henrique, Ho, Quang Phuoc, Kumari, Nageeta, Rachmat, Benedictus Kent, Khuong, Thanh Gia Hieu, Ullah, Ihsan, Sun-Hosoya, Lisheng
Publikováno v:
Conf{\'e}rence sur l'Apprentissage Automatique 2024, Jul 2024, Lille, France
Recent advancements in Artificial Intelligence (AI), particularly the widespread adoption of Large Language Models (LLMs), have significantly enhanced text analysis capabilities. This technological evolution offers considerable promise for automating
Externí odkaz:
http://arxiv.org/abs/2406.10294
Autor:
Sun-Hosoya, Lisheng
L'apprentissage automatique (ML) a connu d'énormes succès ces dernières années et repose sur un nombre toujours croissant d'applications réelles. Cependant, la conception d'algorithmes prometteurs pour un problème spécifique nécessite toujour
Externí odkaz:
http://www.theses.fr/2019SACLS588/document
Autor:
Madrid, Jorge G., Escalante, Hugo Jair, Morales, Eduardo F., Tu, Wei-Wei, Yu, Yang, Sun-Hosoya, Lisheng, Guyon, Isabelle, Sebag, Michele
Research progress in AutoML has lead to state of the art solutions that can cope quite wellwith supervised learning task, e.g., classification with AutoSklearn. However, so far thesesystems do not take into account the changing nature of evolving dat
Externí odkaz:
http://arxiv.org/abs/1907.10772
Publikováno v:
Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021)
Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Sep 2021, Bilbao/Virtual, Spain
Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Sep 2021, Bilbao/Virtual, Spain
International audience; This paper addresses a cornerstone of Automated Machine Learning: the problem of rapidly uncovering which machine learning algorithm performs best on a new dataset. Our approach leverages performances of such algorithms on dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0757f0b1d3804f75bee5f1e09a01c0f7
https://hal.inria.fr/hal-03502358v2/file/MetaREVEAL.pdf
https://hal.inria.fr/hal-03502358v2/file/MetaREVEAL.pdf
Publikováno v:
IAL 2018 workshop, ECML PKDD
IAL 2018 workshop, ECML PKDD, Sep 2018, Dublin, Ireland. 2018
IAL 2018 workshop, ECML PKDD, Sep 2018, Dublin, Ireland., 2018
IAL 2018 workshop, ECML PKDD, Sep 2018, Dublin, Ireland. 2018
IAL 2018 workshop, ECML PKDD, Sep 2018, Dublin, Ireland., 2018
International audience; We present an active meta learning approach to model selection or algorithm recommendation. We adopt the point of view "collab-orative filtering" recommender systems in which the problem is brought back to a missing data probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0cef2097156ba356ce0cf93e057acd54
https://hal.archives-ouvertes.fr/hal-01931262
https://hal.archives-ouvertes.fr/hal-01931262
Autor:
Sun-Hosoya, Lisheng
Publikováno v:
Machine Learning [cs.LG]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLS588⟩
Machine Learning (ML) has enjoyed huge successes in recent years and an ever- growing number of real-world applications rely on it. However, designing promising algorithms for a specific problem still requires huge human effort. Automated Machine Lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::c36a1ae8d212765f87e34e44b34bbde4
https://hal.archives-ouvertes.fr/tel-02422144v2/document
https://hal.archives-ouvertes.fr/tel-02422144v2/document
Publikováno v:
NeurIPS 2019-33th Annual Conference on Neural Information Processing Systems
NeurIPS 2019-33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
NeurIPS 2019-33th Annual Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ddd3276f17d14f779bbde93d49ce54db
https://hal.inria.fr/hal-02415639/document
https://hal.inria.fr/hal-02415639/document
Publikováno v:
Conférence sur l'Apprentissage Automatique 2018
Conférence sur l'Apprentissage Automatique 2018, Jun 2018, Rouen, France
Conférence sur l'Apprentissage Automatique 2018, Jun 2018, Rouen, France
International audience; We give a brief account of the main findings of our post-hoc analysis of the first AutoML challenge (2015-2016). This competition, which took place in 2015-2016 challenged the participants to submit code that solve classificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8b17a59dbe4001fc182143b23658bae0
https://hal.inria.fr/hal-01811454/file/lessons-learned-automl.pdf
https://hal.inria.fr/hal-01811454/file/lessons-learned-automl.pdf
Autor:
Guyon, Isabelle, Sun-Hosoya, Lisheng, Boullé, Marc, Escalante, Hugo, Escalera, Sergio, Liu, Zhengying, Jajetic, Damir, Ray, Bisakha, Saeed, Mehreen, Sebag, Michèle, Statnikov, Alexander, Tu, Wei-Wei, Viegas, Evelyne
Publikováno v:
AutoML: Methods, Systems, Challenges
Frank Hutter; Lars Kotthoff; Joaquin Vanschoren. AutoML: Methods, Systems, Challenges, Springer Verlag, In press, The Springer Series on Challenges in Machine Learning
Frank Hutter; Lars Kotthoff; Joaquin Vanschoren. AutoML: Methods, Systems, Challenges, Springer Verlag, In press, The Springer Series on Challenges in Machine Learning
International audience; The ChaLearn AutoML Challenge 1 (NIPS 2015-ICML 2016) consisted of six rounds of a machine learning competition of progressive difficulty, subject to limited computational resources. It was followed by one round of AutoML chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bbe94f593159e58280fd51e7dce96b2c
https://hal.archives-ouvertes.fr/hal-01906197
https://hal.archives-ouvertes.fr/hal-01906197