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Multi-task and multi-view learning of user state

Referentgranskad
DOI
10.1016/j.neucom.2014.02.057
Kandemir, Melih; Vetek, Akos; Gönen, Mehmet; Klami, Arto; Kaski, Samuel
Neurocomputing2014Publicationer information ikon

Multi-Level and Multi-Objective Traffic Signal Control Using Fuzzy Methods

Referentgranskad
Niittymäki, J.; Nevala, R.
National University of Singapore2000Publicationer information ikon

Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

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Öppen tillgång
DOI
10.1109/COMST.2021.3058573
Wahab, Omar Abdel; Mourad, Azzam; Otrok, Hadi; Taleb, Tarik
IEEE communications surveys and tutorials2021Publicationer information ikon

The multi-level nature of spatial planning and territorial governance

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DOI
10.4337/9781839106255.00015
Zonneveld, Wil; Stead, Dominic
Edward Elgar2024Publicationer information ikon

A learning automata approach to multi-agent policy gradient learning

Referentgranskad
DOI
10.1007/978-3-540-85565-1_48
Peeters, Maarten; Könönen, Ville; Verbeeck, Katja; Nowé, Ann
Lecture Notes in Computer Science2008Publicationer information ikon

Discovering waves of learning in a multi-level network

Toiviainen, Hanna; Kerosuo, Hannele
-2011Publicationer information ikon

Multi-Task Learning for Jointly Detecting Depression and Emotion

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DOI
10.1109/BIBM52615.2021.9669546
Zhang, Yazhou; Li, Xiang; Rong, Lu; Tiwari, Prayag
IEEE International Conference on Bioinformatics and Biomedicine2021Publicationer information ikon

RL-KLM: Automating Keystroke-level Modeling with Reinforcement Learning

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DOI
10.1145/3301275.3302285
Leino, Katri; Oulasvirta, Antti; Kurimo, Mikko
International Conference on Intelligent User Interfaces2019Publicationer information ikon

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

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DOI
10.1145/3581783.3612836
Lian, Zheng; Sun, Haiyang; Sun, Licai; Chen, Kang; Xu, Mngyu; Wang, Kexin; Xu, Ke; He, Yu; Li, Ying;...
ACM Multimedia2023Publicationer information ikon

Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC

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Öppen tillgång
DOI
10.1109/EuCNC/6GSummit51104.2021.9482453
Zhao, Qiyang; Paris, Stefano; Veijalainen, Teemu; Ali, Samad
European conference on networks and communications2021

Multi-task and multi-view learning of user state

Referentgranskad
DOI
10.1016/j.neucom.2014.02.057
2014

Multi-Level and Multi-Objective Traffic Signal Control Using Fuzzy Methods

Referentgranskad
2000

Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

Referentgranskad
Öppen tillgång
DOI
10.1109/COMST.2021.3058573
2021

The multi-level nature of spatial planning and territorial governance

Referentgranskad
Öppen tillgång
DOI
10.4337/9781839106255.00015
2024

A learning automata approach to multi-agent policy gradient learning

Referentgranskad
DOI
10.1007/978-3-540-85565-1_48
2008

Discovering waves of learning in a multi-level network

2011

Multi-Task Learning for Jointly Detecting Depression and Emotion

Referentgranskad
Öppen tillgång
DOI
10.1109/BIBM52615.2021.9669546
2021

RL-KLM: Automating Keystroke-level Modeling with Reinforcement Learning

Referentgranskad
Öppen tillgång
DOI
10.1145/3301275.3302285
2019

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

Referentgranskad
Öppen tillgång
DOI
10.1145/3581783.3612836
2023

Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC

Referentgranskad
Öppen tillgång
DOI
10.1109/EuCNC/6GSummit51104.2021.9482453
2021